What do Google, Netflix and Amazon have in common? These giants have built their success by analysing customer data. Businesses today rely to respond effectively to customers. Data has become a valuable currency. As the amount of data created grows exponentially, data analysts play a critical role in helping make sense of it.


DURATION

3 years (6 trimesters) full-time or equivalent part-time

INTAKES

March, July, November

VTAC CODE

9470110042

UAC CODE

570125

LOCATION

Melbourne, Sydney

AQF LEVEL

Level 7
DURATION 3 years (6 trimesters) full-time or equivalent part-time
INTAKES March, July, November
VTAC CODE 9470110042
UAC CODE 570125
LOCATION Melbourne, Sydney
AQF LEVEL Level 7

DATA DRIVEN SUCCESS

Imagine a career in an industry so new it's evolving even as you study. Discover a career where your skills make you a sought after, highly-paid professional leading an industry as it grows.

Data Analytics is where data science, statistics, AI and machine learning meet. Big data and analytics impact every organisation, from technology start-ups to multinational companies. You'll learn to analyse massive amounts of structured and unstructured data, provide insights, and use the data to innovate and create business solutions.

You will understand the entire data lifecycle, including the phases that define how information is created, gathered, processed, used, and analysed.

The unparalleled growth in data-driven technologies has created new career opportunities in health, science, finance, law, astronomy, geology and beyond.

This course opens the door to opportunities in smart technologies, like the Internet of Things, smart homes, robotics and deep learning applications.

THIS COURSE INCLUDES:

  • FLIPPED CLASSROOM

    Get in the driver's seat and take control of your learning - with flipped classrooms, you’ll arrive in class prepared and ready to build on your learning.

  • CUTTING EDGE TECHNOLOGY

    Advance your understanding of Artificial Intelligence and machine learning technologies.

  • SUPPORTIVE TEACHING

    We use an academic support program called InSPIRE to tailor our learning to each student.

  • SOLVE REAL PROBLEMS

    Learn how to think creatively and create innovative, data-driven solutions to real-world problems.

  • BECOME AN EXPERT

    Develop comprehensive knowledge of data analytics lifecycles.

  • LEARN WITH INDUSTRY

    Our curriculum is based on solving real world problems. MIT has a strong reputation for Work-Integrated Learning.

FLIPPED CLASSROOM

Get in the driver's seat and take control of your learning - with flipped classrooms, you’ll arrive in class prepared and ready to build on your learning.

CUTTING EDGE TECHNOLOGY

Advance your understanding of Artificial Intelligence and machine learning technologies.

SUPPORTIVE TEACHING

We use an academic support program called InSPIRE to tailor our learning to each student.

SOLVE REAL PROBLEMS

Learn how to think creatively and create innovative, data-driven solutions to real-world problems.

BECOME AN EXPERT

Develop comprehensive knowledge of data analytics lifecycles.

LEARN WITH INDUSTRY

Our curriculum is based on solving real world problems. MIT has a strong reputation for Work-Integrated Learning.

CAREER PATHS

A career in data analytics will give you great job prospects. 

Roles include:

  • Data Architect
  • Data Analyst
  • Data Scientist
  • Fraud Analyst
  • Corporate Strategy Analyst
  • Business (Intelligence) Analyst
  • IT Systems Analyst
  • Social Media Data Analyst
  • Operations Analyst
  • Marketing Analyst
  • Applications Architect
  • Enterprise Architect

COURSE DETAILS

The Bachelor of Data Analytics provides you with valuable knowledge in data analytic lifecycles and applying key industry tools.

Get ready for an exciting career in areas including smart technologies applications, such as the Internet of Things, smart homes, robotics and deep learning. You’ll develop practical skills and methodologies to think differently.

As smart technologies evolve, they create massive volumes of data. Managing, interpreting, storing and securing this data is a challenge to existing technologies. We expect there to be a growing demand for dedicated data analytics organisations and experts to service them. As a graduate of the Bachelor of Data Analytics you’ll have the foundations needed to thrive as the industry grows.

Specialised electives will prepare you for a career in emerging industries including smart technologies and advanced artificial intelligence. You’ll be ideally placed to drive business innovation.

In addition, you’ll learn theories and practices in deep learning, neural networks and advanced smart algorithms. This course will expose you to machine learning tools and technologies that you can apply to investigate real world data problems.

Additional specialisations and majors may be offered in the future.

These include: 

  • Advanced automation and robotics 
  • Machine-to-machine and human-to-machine communication 
  • Artificial intelligence and machine learning 
  • Sensor technology and data analytics

PROFESSIONAL RECOGNITION AND ACCREDITATION

A respected reputation

The Bachelor of Data Analytics is provisionally accredited by the Australian Computer Society (ACS) at the Professional Level.

MIT’s courses are accredited by TEQSA Tertiary Education Quality and Standards Agency. TEQSA is Australia’s independent national quality assurance and regulatory agency for higher education in Australia; see https://www.teqsa.gov.au/

COURSE STRUCTURE

The Bachelor of Data Analytics requires 18 Common Core units, a capstone Industry-based Project (attuned to major) (2 units) and electives (to be chosen from approved list) (4 units).

Each unit consists of 15 credit points. A full-time study load is 60 credit points per trimester. The degree will run for three years with 360 credit points (15 points x 24 units).

Data analysts are more than just the numbers people - they’re at the forefront of business strategy and decision making.  Employers are demanding graduates who are innovative thinkers, who can work collaboratively and can problem solve to create cost effective business solutions.

That’s why we focus on meaningful group learning and building industry connections for all students in our industry projects.

These units are designed to provide you with real-world experience, working for an industry client. 

  • Develop vital soft skills, like leadership, communication and negotiation, when you communicate and collaborate with a team of your peers
  • Conduct high level research, analysis and development
  • Tackle complex real-world problems with technical and creative skills

In the final year, students on a Bachelor of Data Analytics consolidate their learning through two capstone projects.

BDA303 Data Analytics Capstone Project 1

BDA304 Data Analytics Capstone Project 2 

Read more about our Industry-Based Projects and Internships

All students must complete the zero credit AIM100 Academic Integrity Module

Common Core Units

Electives 

Students should select three electives from the same specialisation.
The Course Coordinator may approve other electives, on a case by case basis.

Capstone Units (Industry Projects)

Some remarks:
The program is available for each intake; however, some units of study are subject to quotas and minimum enrolment requirements.
Not all units of study are available every trimester, and changes in program structure occur from time to time.

 

*Additional Fee

It is mandatory for the awarding of the Bachelor of Data Analytics degree that the student undertakes the final year project units: BDA303 Data Analytics Capstone Project 1 
BDA304 Data Analytics Capstone Project 2. If a third party is required to find a project for the student, the student will incur a fee. 

Trimester 1
Core
Core
Core
Core
Trimester 2
Core
Core
Core
Core
Trimester 3
Core
Core
Core
Core
Trimester 4
Core
Core
Core
Elective 1
Trimester 5
Core
Core
Elective 2
Industry project 1
Trimester 6
Core
Elective 3
Elective 4
Industry project 2

BACHELOR OF DATA ANALYTICS STUDENT PROFILE

The student profile is not available for this course.

COURSE LEARNING OUTCOMES

Bachelor of Data Analytics students will achieve the following course learning outcomes:

  • Demonstrate a coherent understanding of fundamental theories and practices in computing technologies, and possess the ability to apply skills and knowledge of a selected computing  discipline to solve contemporary real‐world problems. 
  • Design, develop and evaluate computing solutions in contemporary industry applications using available tools, technologies, and methodologies, with demonstrated understanding of business  practices, ethics, and technological landscapes. 
  • Plan and deploy computing solutions for industry problems with demonstrated knowledge of industry best practice and business acumen. 
  • Investigate and recommend innovative computing solutions to complex industry problems, with the demonstrated ability to independently learn and critically analyse. 
  • Collaboratively lead a team of professionals to achieve synergetic goals and to effectively communicate processes and results to management and technical audiences. 
With additional course learning outcomes specific to the Data Analytics discipline: 
  • Identify and evaluate solutions to data analytics problems based on business requirements and to design and develop effective data analytics applications using available specialist tools and  technologies. 
  • Plan and deploy data analytics solutions for complex industry problems with demonstrated skills and knowledge of data analytics tools, methodologies and data science lifecycles. 
  • Investigate and evaluate the performance of data analytics systems in consideration of the business context and industry best practices and to recommend appropriate solutions. 

What skills will you gain?

With a Bachelor of Data Analytics you will gain core skills in:

  • Data visualisation
  • Data modelling
  • Up to date software and programming, including Tableau, Python, R, SQL and NoSQL, MATLAB 
  • Statistical analysis and strategy
  • Data driven decision making
  • Leadership and strategy
  • Critical thinking and communication.

AQF Level 7

Summary:

Graduates at this level will have broad knowledge and skills for professional work and/or further learning.

Knowledge:

Graduates at this level will have broad and coherent theoretical and technical knowledge with depth in one or more disciplines or areas of practice [K1]

Skills:

Graduates at this level will have well-developed cognitive, technical and communication skills to select and apply methods and technologies to:

  1. Analyse and evaluate information to complete a range of activities [S1]
  2. Analyse, generate and transmit solutions to unpredictable and sometimes complex problems [S2]
  3. Transmit knowledge, skills and ideas to others [S3]

Application of knowledge and skills:

Graduates at this level will apply knowledge and skills to demonstrate autonomy, judgement and defined responsibility: Graduates at this level will apply knowledge and skills to demonstrate autonomy, well-developed judgement and responsibility:

  1. In contexts that require self-directed work and learning [A1]
  2. Within broad parameters to provide specialist advice and functions [A2]

ENTRY REQUIREMENTS

Applicants must meet the academic entry requirements including prerequisites for their chosen course, and;

Applicants must meet the minimum English language requirement for their chosen course, and;

Domestic Applicants must be 17 years of age as at the commencement date of their chosen course or unit.

Admission criteria for applicants with recent secondary education

Applicants with recent secondary education are those who completed Year 12 within the last two years. You’ll need to satisfy the following requirements:

  • Successful completion of your Victorian Certificate of Education (VCE), HSC (Higher Secondary Certificate) or the equivalent in your state or territory, or
  • Successful completion of the International Baccalaureate.

Prerequisites for students from Victoria:

Units 3 and 4: a study score of at least 20 in any English in VCE or equivalent;

Units 3 and 4: a study score of at least 20 in any Mathematics in VCE or equivalent.

Prerequisites for students from New South Wales:

Band 2 or higher in any English in HSC;

Band 2 or higher in any Mathematics in HSC or equivalent.

Admission Criteria for Non-year 12 Applicants

Non-year 12 Prerequisite

Compulsory: As for Year 12 or equivalent.

Applicants with higher education study

Applicants are eligible for admission if they’ve completed full-time equivalent higher education study (the number of units or courses will vary depending on your previous institution; however, this is equivalent to 4 units at MIT).

If you don't meet this requirement, we'll assess your admission on the basis of your previous academic history, which may include your higher education study results, Year 12 or equivalent study scores, and your personal statement.

Applicants with vocational education and training (VET) study

You must have completed an AQF Certificate IV or above from a Registered Training Organisation (RTO). You must also meet any pre-requisites prescribed for the course.

Applications with Work and Life Experience

1. Requirements for applicants who did not complete Year 12:

Applicants under this category will be assessed on a case-by-case basis on one or more of the following

  • Substantial relevant work experience that demonstrates that you’ve satisfied the entry requirements for the course, or
  • Completion of any relevant non-formal courses, and
  • A personal statement outlining your motivation to study the course and details of personal circumstances, including your life and work experience. You should provide any aspect of your personal history that may support your application, including community service, work experience, and achievements.

2. Requirements for applicants who completed Year 12 more than two years ago:

Applicants who completed their Year 12 studies more than two years ago but have not completed any VET or higher education studies are assessed according to their Year 12 results.

Applicants with Bridging and enabling course

You're eligible to apply if you've completed a Foundation Studies or Tertiary Preparatory program at a university, TAFE or Registered Training Organisation (RTO).

Additional Information

Aboriginal and Torres Strait Islander people

Aboriginal and Torres Strait Islander applicants are assessed in the same way as applicants under the above categories.

Domestic applicants with overseas qualifications

Applicants with overseas qualifications need to establish whether their qualifications are equivalent to Australian qualifications. VTAC will advise MIT of the level of course in terms of the Australian Qualifications Framework according to NOOSR (the National Office for Overseas Skills Recognition) guidelines.

The Admissions Officer at MIT will then assess whether the qualification is suitable for entry into that course according to the course entry requirements.

English Language Requirements

Applicants with overseas qualifications must satisfy English language requirements in addition to meeting the academic requirements for the course.
Applicants with the following qualifications/English Language Tests may satisfy English requirements.

First Language English

If you completed Senior Secondary or Tertiary studies from a country where English is the first language.

Independent English Language Test Score

You need to achieve the minimum scores, as shown below.

IELTS Academic

Overall score 6.0
(no band less than 5.5)

TOFEL ibt

Overall score 60-78 with minimum scores: Reading 12, Listening 11,  Speaking 17, Writing 20

PTE Academic

Overall score 50 with (no score less than 46)

Cambridge CAE

CAE score of 169 ( no band less than 162)

Pathways

TAFE/VET Diploma and Advanced Diploma graduates may be eligible to apply for Credit Transfer. You can get up to one year credit transfer for a relevant Diploma and up to 1.5 years for a relevant Advanced Diploma.

Credit Transfer

Credit transfer provides students with credit for learning already achieved. Applicants are assessed on a case-by-case basis. Learn more about credit transfer.

Applications for credit transfer must be made before or during orientation and enrolment week.

Recognition of Prior Learning

Recognition of prior learning (RPL) allows students to gain credit towards their course based on their prior learning (including formal, informal and non‐formal learning). Applicants are assessed on a case-by-case basis. Learn more about credit transfer.

Applications for Recognition of Prior Learning must be made before or during orientation and enrolment week.

For further information, see the links below:

WE USE THE SAME TOOLS AS INDUSTRY PROFESSIONALS

We use Tableau to visualise data and discover hidden insights.
This programming and numeric computing platform is used to analyze data, develop algorithms, and create models.
Artificial Intelligence, the simulation of human intelligence in machines, is a key component of Data Analytics.
An interpreted high-level general-purpose programming language.
A language and environment for statistical computing and graphics.
Machine Learning is a field of study that automates analytical model building by learning from data inductively.

State of the art facilities 

Our labs are equipped with the latest software to help you hone your skills.
Access the latest books/ ebook and hundreds of academic publications online, so you can stay up to speed with the developments in the field. Our library is available 24/7.

FEE INFORMATION

Study now and pay later with FEE-HELP.

Students studying at MIT may be eligible for FEE-HELP. FEE-HELP is a loan scheme that assists eligible fee-paying students to pay their tuition fees. An eligible person may borrow up to the FEE-HELP limit to pay tuition fees over their lifetime.

Read more about FEE-HELP or visit Study Assist.

Tuition Fees

For 2022-23 fee information visit the tuition fee page.

Financial Assistance

Youth and student allowances

For details on Youth Allowance, Austudy and ABSTUDY, visit Human Services.

FREQUENTLY ASKED QUESTIONS

What is data analytics?

Data Analytics is the process of analysing data, extracting insights and information on trends, finding answers to questions and insights.  Data analysts create systems that gather relevant data, analyse the data and manage the data through collection, storage and retrieval.

What is the difference between data analytics and networking? 

Networking establishes the system and infrastructure, data analytics takes the data and information that the networks generate and turns it into a story. Data Analytics requires different skills in analysis and strategy from the data.

What do data analysts Do? 

Data analysts take control of business data and make sense of it, so it can translate into strategies to drive a business forward. 
They use the latest technology in Artificial Intelligence (AI), Data Science, Big Data Analytics, Visualisation, Smart Sensors and Cloud Computing to improve the way we do business.  

How much does a data analyst make?

According to Job Outlook, the salary for data analysts is higher than average.  Salaries ranging from $75000 to $100000 + for highly skilled analysts.  Skilled data analysts are in high demand, and the industry is expected to grow rapidly.  

Is there demand for data analysts?

Popular job seeking websites including Seek and Indeed list thousands of jobs in data analytics. Despite increased use of Artificial Intelligence, data scientists are increasingly in demand. This is because of the prominence of data in driving businesses. 

How is data generated?

Data is generated by customers and businesses. The growth of the Internet of Things has created huge amounts of data. Beyond that, data can be generated by animals, farms and more. Any information can be analysed as data.

Which businesses rely on data analysis?

The unprecedented growth in data-driven technologies has created career opportunities in health, science, finance, law, astronomy, geology, and other sectors enabled by data analytic technologies.

 

Have more questions?

Find answers to your FAQ here:

How to apply

Intake dates

Information for international students

HOW TO APPLY

Step 1: Check the course entry requirements.

  • Make sure you meet the entry requirements for your chosen course.

Step 2: What to include with your application?

  • Evidence of completion of your previous studies that is award certificates or transcript with completion confirmed.
  • Proof of identity—for example, your passport or birth certificate or citizenship.
  • Evidence of English language skills (if you completed studies from a non-English speaking country).
  • Proof of your permanent residency or citizenship if you were born overseas.

Certifying your academic documents

You should provide certified copies of your academic and other essential documents at the time of application.

Step 3: Apply

Apply direct to MIT using our direct Application Portal. The following applicants should apply directly:

  • Postgraduate applicants
  • Non-current Year 12 applicants

Current Year 12 students (VIC)

If you are a Year 12 student from VIC, you should apply through VTAC. VTAC applications are made online through the VTAC website. To learn more about the application process, visit VTAC.

Apply via VTAC

Current Year 12 students (NSW)

If you are a Year 12 student from NSW, you should apply through UAC. UAC applications are made online through the UAC website. To learn more about the application process, visit the UAC website

Apply via UAC

WHAT TO DO AFTER YOU HAVE APPLIED

The application processing time for direct applications is five working days after receiving the application at MIT. It may take longer during peak periods.
If you applied through VTAC, offers are released at different times. For more information on VTAC offer rounds and important dates, please visit the VTAC page.

Depending on your application method, if your application is successful, you will receive:

  • Offer through your VTAC account if you applied through VTAC
  • Offer by email if you applied directly to MIT.

How to accept your offer

Whether you received a direct offer or VTAC offer, you will need to attend the Offer acceptance and Enrolment on the date specified in your offer to accept your offer and enrol in units.

Deferment of offer

You can defer up to 12 months. If you wish to defer studies, you must do so before the offer acceptance and enrollment date.

COURSE DETAILS

The Bachelor of Data Analytics provides you with valuable knowledge in data analytic lifecycles and applying key industry tools.

Get ready for an exciting career in areas including smart technologies applications, such as the Internet of Things, smart homes, robotics and deep learning. You’ll develop practical skills and methodologies to think differently.

As smart technologies evolve, they create massive volumes of data. Managing, interpreting, storing and securing this data is a challenge to existing technologies. We expect there to be a growing demand for dedicated data analytics organisations and experts to service them. As a graduate of the Bachelor of Data Analytics you’ll have the foundations needed to thrive as the industry grows.

Specialised electives will prepare you for a career in emerging industries including smart technologies and advanced artificial intelligence. You’ll be ideally placed to drive business innovation.

In addition, you’ll learn theories and practices in deep learning, neural networks and advanced smart algorithms. This course will expose you to machine learning tools and technologies that you can apply to investigate real world data problems.

Additional specialisations and majors may be offered in the future.

These include: 

  • Advanced automation and robotics 
  • Machine-to-machine and human-to-machine communication 
  • Artificial intelligence and machine learning 
  • Sensor technology and data analytics

PROFESSIONAL RECOGNITION AND ACCREDITATION

A respected reputation

The Bachelor of Data Analytics is provisionally accredited by the Australian Computer Society (ACS) at the Professional Level.

MIT’s courses are accredited by TEQSA Tertiary Education Quality and Standards Agency. TEQSA is Australia’s independent national quality assurance and regulatory agency for higher education in Australia; see https://www.teqsa.gov.au/

COURSE STRUCTURE

The Bachelor of Data Analytics requires 18 Common Core units, a capstone Industry-based Project (attuned to major) (2 units) and electives (to be chosen from approved list) (4 units).

Each unit consists of 15 credit points. A full-time study load is 60 credit points per trimester. The degree will run for three years with 360 credit points (15 points x 24 units).

Data analysts are more than just the numbers people - they’re at the forefront of business strategy and decision making.  Employers are demanding graduates who are innovative thinkers, who can work collaboratively and can problem solve to create cost effective business solutions.

That’s why we focus on meaningful group learning and building industry connections for all students in our industry projects.

These units are designed to provide you with real-world experience, working for an industry client. 

  • Develop vital soft skills, like leadership, communication and negotiation, when you communicate and collaborate with a team of your peers
  • Conduct high level research, analysis and development
  • Tackle complex real-world problems with technical and creative skills

In the final year, students on a Bachelor of Data Analytics consolidate their learning through two capstone projects.

BDA303 Data Analytics Capstone Project 1

BDA304 Data Analytics Capstone Project 2 

Read more about our Industry-Based Projects and Internships

All students must complete the zero credit AIM100 Academic Integrity Module

Common Core Units

Electives 

Students should select three electives from the same specialisation.
The Course Coordinator may approve other electives, on a case by case basis.

Capstone Units (Industry Projects)

Some remarks:
The program is available for each intake; however, some units of study are subject to quotas and minimum enrolment requirements.
Not all units of study are available every trimester, and changes in program structure occur from time to time.

 

*Additional Fee

It is mandatory for the awarding of the Bachelor of Data Analytics degree that the student undertakes the final year project units: BDA303 Data Analytics Capstone Project 1 
BDA304 Data Analytics Capstone Project 2. If a third party is required to find a project for the student, the student will incur a fee. 

Trimester 1
Core
Core
Core
Core
Trimester 2
Core
Core
Core
Core
Trimester 3
Core
Core
Core
Core
Trimester 4
Core
Core
Core
Elective 1
Trimester 5
Core
Core
Elective 2
Industry project 1
Trimester 6
Core
Elective 3
Elective 4
Industry project 2

BACHELOR OF DATA ANALYTICS STUDENT PROFILE

The student profile is not available for this course.

COURSE LEARNING OUTCOMES

Bachelor of Data Analytics students will achieve the following course learning outcomes:

  • Demonstrate a coherent understanding of fundamental theories and practices in computing technologies, and possess the ability to apply skills and knowledge of a selected computing  discipline to solve contemporary real‐world problems. 
  • Design, develop and evaluate computing solutions in contemporary industry applications using available tools, technologies, and methodologies, with demonstrated understanding of business  practices, ethics, and technological landscapes. 
  • Plan and deploy computing solutions for industry problems with demonstrated knowledge of industry best practice and business acumen. 
  • Investigate and recommend innovative computing solutions to complex industry problems, with the demonstrated ability to independently learn and critically analyse. 
  • Collaboratively lead a team of professionals to achieve synergetic goals and to effectively communicate processes and results to management and technical audiences. 
With additional course learning outcomes specific to the Data Analytics discipline: 
  • Identify and evaluate solutions to data analytics problems based on business requirements and to design and develop effective data analytics applications using available specialist tools and  technologies. 
  • Plan and deploy data analytics solutions for complex industry problems with demonstrated skills and knowledge of data analytics tools, methodologies and data science lifecycles. 
  • Investigate and evaluate the performance of data analytics systems in consideration of the business context and industry best practices and to recommend appropriate solutions. 

What skills will you gain?

With a Bachelor of Data Analytics you will gain core skills in:

  • Data visualisation
  • Data modelling
  • Up to date software and programming, including Tableau, Python, R, SQL and NoSQL, MATLAB 
  • Statistical analysis and strategy
  • Data driven decision making
  • Leadership and strategy
  • Critical thinking and communication.

AQF Level 7

Summary:

Graduates at this level will have broad knowledge and skills for professional work and/or further learning.

Knowledge:

Graduates at this level will have broad and coherent theoretical and technical knowledge with depth in one or more disciplines or areas of practice [K1]

Skills:

Graduates at this level will have well-developed cognitive, technical and communication skills to select and apply methods and technologies to:

  1. Analyse and evaluate information to complete a range of activities [S1]
  2. Analyse, generate and transmit solutions to unpredictable and sometimes complex problems [S2]
  3. Transmit knowledge, skills and ideas to others [S3]

Application of knowledge and skills:

Graduates at this level will apply knowledge and skills to demonstrate autonomy, judgement and defined responsibility: Graduates at this level will apply knowledge and skills to demonstrate autonomy, well-developed judgement and responsibility:

  1. In contexts that require self-directed work and learning [A1]
  2. Within broad parameters to provide specialist advice and functions [A2]

ENTRY REQUIREMENTS

Applicants must meet the academic entry requirements including prerequisites for their chosen course, and;

Applicants must meet the minimum English language requirement for their chosen course, and;

Domestic Applicants must be 17 years of age as at the commencement date of their chosen course or unit.

Admission criteria for applicants with recent secondary education

Applicants with recent secondary education are those who completed Year 12 within the last two years. You’ll need to satisfy the following requirements:

  • Successful completion of your Victorian Certificate of Education (VCE), HSC (Higher Secondary Certificate) or the equivalent in your state or territory, or
  • Successful completion of the International Baccalaureate.

Prerequisites for students from Victoria:

Units 3 and 4: a study score of at least 20 in any English in VCE or equivalent;

Units 3 and 4: a study score of at least 20 in any Mathematics in VCE or equivalent.

Prerequisites for students from New South Wales:

Band 2 or higher in any English in HSC;

Band 2 or higher in any Mathematics in HSC or equivalent.

Admission Criteria for Non-year 12 Applicants

Non-year 12 Prerequisite

Compulsory: As for Year 12 or equivalent.

Applicants with higher education study

Applicants are eligible for admission if they’ve completed full-time equivalent higher education study (the number of units or courses will vary depending on your previous institution; however, this is equivalent to 4 units at MIT).

If you don't meet this requirement, we'll assess your admission on the basis of your previous academic history, which may include your higher education study results, Year 12 or equivalent study scores, and your personal statement.

Applicants with vocational education and training (VET) study

You must have completed an AQF Certificate IV or above from a Registered Training Organisation (RTO). You must also meet any pre-requisites prescribed for the course.

Applications with Work and Life Experience

1. Requirements for applicants who did not complete Year 12:

Applicants under this category will be assessed on a case-by-case basis on one or more of the following

  • Substantial relevant work experience that demonstrates that you’ve satisfied the entry requirements for the course, or
  • Completion of any relevant non-formal courses, and
  • A personal statement outlining your motivation to study the course and details of personal circumstances, including your life and work experience. You should provide any aspect of your personal history that may support your application, including community service, work experience, and achievements.

2. Requirements for applicants who completed Year 12 more than two years ago:

Applicants who completed their Year 12 studies more than two years ago but have not completed any VET or higher education studies are assessed according to their Year 12 results.

Applicants with Bridging and enabling course

You're eligible to apply if you've completed a Foundation Studies or Tertiary Preparatory program at a university, TAFE or Registered Training Organisation (RTO).

Additional Information

Aboriginal and Torres Strait Islander people

Aboriginal and Torres Strait Islander applicants are assessed in the same way as applicants under the above categories.

Domestic applicants with overseas qualifications

Applicants with overseas qualifications need to establish whether their qualifications are equivalent to Australian qualifications. VTAC will advise MIT of the level of course in terms of the Australian Qualifications Framework according to NOOSR (the National Office for Overseas Skills Recognition) guidelines.

The Admissions Officer at MIT will then assess whether the qualification is suitable for entry into that course according to the course entry requirements.

English Language Requirements

Applicants with overseas qualifications must satisfy English language requirements in addition to meeting the academic requirements for the course.
Applicants with the following qualifications/English Language Tests may satisfy English requirements.

First Language English

If you completed Senior Secondary or Tertiary studies from a country where English is the first language.

Independent English Language Test Score

You need to achieve the minimum scores, as shown below.

IELTS Academic

Overall score 6.0
(no band less than 5.5)

TOFEL ibt

Overall score 60-78 with minimum scores: Reading 12, Listening 11,  Speaking 17, Writing 20

PTE Academic

Overall score 50 with (no score less than 46)

Cambridge CAE

CAE score of 169 ( no band less than 162)

Pathways

TAFE/VET Diploma and Advanced Diploma graduates may be eligible to apply for Credit Transfer. You can get up to one year credit transfer for a relevant Diploma and up to 1.5 years for a relevant Advanced Diploma.

Credit Transfer

Credit transfer provides students with credit for learning already achieved. Applicants are assessed on a case-by-case basis. Learn more about credit transfer.

Applications for credit transfer must be made before or during orientation and enrolment week.

Recognition of Prior Learning

Recognition of prior learning (RPL) allows students to gain credit towards their course based on their prior learning (including formal, informal and non‐formal learning). Applicants are assessed on a case-by-case basis. Learn more about credit transfer.

Applications for Recognition of Prior Learning must be made before or during orientation and enrolment week.

For further information, see the links below:

WE USE THE SAME TOOLS AS INDUSTRY PROFESSIONALS

We use Tableau to visualise data and discover hidden insights.
This programming and numeric computing platform is used to analyze data, develop algorithms, and create models.
Artificial Intelligence, the simulation of human intelligence in machines, is a key component of Data Analytics.
An interpreted high-level general-purpose programming language.
A language and environment for statistical computing and graphics.
Machine Learning is a field of study that automates analytical model building by learning from data inductively.

State of the art facilities 

Our labs are equipped with the latest software to help you hone your skills.
Access the latest books/ ebook and hundreds of academic publications online, so you can stay up to speed with the developments in the field. Our library is available 24/7.

FEE INFORMATION

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Students studying at MIT may be eligible for FEE-HELP. FEE-HELP is a loan scheme that assists eligible fee-paying students to pay their tuition fees. An eligible person may borrow up to the FEE-HELP limit to pay tuition fees over their lifetime.

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Tuition Fees

For 2022-23 fee information visit the tuition fee page.

Financial Assistance

Youth and student allowances

For details on Youth Allowance, Austudy and ABSTUDY, visit Human Services.

FREQUENTLY ASKED QUESTIONS

What is data analytics?

Data Analytics is the process of analysing data, extracting insights and information on trends, finding answers to questions and insights.  Data analysts create systems that gather relevant data, analyse the data and manage the data through collection, storage and retrieval.

What is the difference between data analytics and networking? 

Networking establishes the system and infrastructure, data analytics takes the data and information that the networks generate and turns it into a story. Data Analytics requires different skills in analysis and strategy from the data.

What do data analysts Do? 

Data analysts take control of business data and make sense of it, so it can translate into strategies to drive a business forward. 
They use the latest technology in Artificial Intelligence (AI), Data Science, Big Data Analytics, Visualisation, Smart Sensors and Cloud Computing to improve the way we do business.  

How much does a data analyst make?

According to Job Outlook, the salary for data analysts is higher than average.  Salaries ranging from $75000 to $100000 + for highly skilled analysts.  Skilled data analysts are in high demand, and the industry is expected to grow rapidly.  

Is there demand for data analysts?

Popular job seeking websites including Seek and Indeed list thousands of jobs in data analytics. Despite increased use of Artificial Intelligence, data scientists are increasingly in demand. This is because of the prominence of data in driving businesses. 

How is data generated?

Data is generated by customers and businesses. The growth of the Internet of Things has created huge amounts of data. Beyond that, data can be generated by animals, farms and more. Any information can be analysed as data.

Which businesses rely on data analysis?

The unprecedented growth in data-driven technologies has created career opportunities in health, science, finance, law, astronomy, geology, and other sectors enabled by data analytic technologies.

 

Have more questions?

Find answers to your FAQ here:

How to apply

Intake dates

Information for international students

HOW TO APPLY

Step 1: Check the course entry requirements.

  • Make sure you meet the entry requirements for your chosen course.

Step 2: What to include with your application?

  • Evidence of completion of your previous studies that is award certificates or transcript with completion confirmed.
  • Proof of identity—for example, your passport or birth certificate or citizenship.
  • Evidence of English language skills (if you completed studies from a non-English speaking country).
  • Proof of your permanent residency or citizenship if you were born overseas.

Certifying your academic documents

You should provide certified copies of your academic and other essential documents at the time of application.

Step 3: Apply

Apply direct to MIT using our direct Application Portal. The following applicants should apply directly:

  • Postgraduate applicants
  • Non-current Year 12 applicants

Current Year 12 students (VIC)

If you are a Year 12 student from VIC, you should apply through VTAC. VTAC applications are made online through the VTAC website. To learn more about the application process, visit VTAC.

Apply via VTAC

Current Year 12 students (NSW)

If you are a Year 12 student from NSW, you should apply through UAC. UAC applications are made online through the UAC website. To learn more about the application process, visit the UAC website

Apply via UAC

WHAT TO DO AFTER YOU HAVE APPLIED

The application processing time for direct applications is five working days after receiving the application at MIT. It may take longer during peak periods.
If you applied through VTAC, offers are released at different times. For more information on VTAC offer rounds and important dates, please visit the VTAC page.

Depending on your application method, if your application is successful, you will receive:

  • Offer through your VTAC account if you applied through VTAC
  • Offer by email if you applied directly to MIT.

How to accept your offer

Whether you received a direct offer or VTAC offer, you will need to attend the Offer acceptance and Enrolment on the date specified in your offer to accept your offer and enrol in units.

Deferment of offer

You can defer up to 12 months. If you wish to defer studies, you must do so before the offer acceptance and enrollment date.

INDUSTRY PROJECTS

When you study Data Analytics at MIT you’ll learn how to combine the essentials of statistics and data with technology. You’ll also develop communication skills, as well as strategic thinking, project management and problem solving skills.

Our industry based final year projects offer exciting opportunities to apply your learning to solve real-world problems for industry leaders.

The projects are supervised by academic staff and industry supervisors, providing a fully immersive work-integrated learning (WIL) experience for students.

Each project works through system specification, analysis, design, development, implementation, testing and troubleshooting.

Previous industry projects within this department:

  • TRAFFIC CONTROL : Developing an automatic detection system using Internet of Things devices.
  • RETAIL : Designing a MAC address detection system to prevent petrol theft. 
  • DIGITAL LIBRARY : Building an Artificial Intelligence analytical framework using big data.
  • ONLINE RETAIL STORE : Creating a secure cloud-based multi-authentication biometric password framework.
  • LIFESTYLE IMPROVEMENT : Design and  development of an animal flap with facial recognition techniques.
  • IMAGING AND DATA PROCESSING : Comparative analysis of locally-sensitive hashing algorithm and similarity digest on images.

OUR STAFF ARE LEADING INDUSTRY EXPERTS

Paul Kwan

Professor in Data Analytics, Course Coordinator Master of Business Analytics

Working in data analytics has given Paul Kwan an exciting career working all over the globe. Before MIT, Paul taught for 15 years at The University of New England (UNE) in NSW, where he was Professor and Head of Computer Science. He joined the Melbourne Institute of Technology in 2020 as Program Leader and Professor of Data Analytics.

Paul has a doctoral degree in Advanced Engineering Systems from The University of Tsukuba (Japan) majoring in Intelligent Interaction Technologies. His Bachelor and Master degrees were in Computer Science, awarded by Cornell University and the University of Arizona in the USA.

He has extensive professional experience working in his native Hong Kong in ICT industries.

His areas of expertise include Artificial Intelligence, Computer Vision, Data Mining, and Machine Learning.

Paul has been a member of the Australian Computer Society (ACS) since 2006, Senior Member of Association of Computing Machinery (ACM) since 2008, and Senior Member of IEEE, the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity, since 2010.

Johnson Ihyeh Abgbinya

Head of School of IT and Engineering and Course Coordinator Master of Engineering (Telecommunications)

Professor Agbinya is the author of a number of textbooks on networks and wireless communication. There’s no better person to learn from. His research includes inductive communication systems, big data analytics, wireless power transfer and the Internet of Things. He leads the Engineering and IT Schools at MIT.

His previous experience includes lecturing at the University of Technology Sydney, and senior research roles at Vodafone Australia and CSIRO Telecommunications developing speech recognition software for mobile phones.

OUR STAFF ARE LEADING INDUSTRY EXPERTS

HEAR FROM THOSE WHO GRADUATED

I became more confident and bolder than I used to be.”

Rakshya Bohara

Bachelor of Data Analytics

I became more confident and bolder than I used to be.”

Rakshya Bohara

Bachelor of Data Analytics

JOIN A SUPPORTIVE NETWORK

When you study a Bachelor of Data Analytics, you’ll make friends and industry connections that last a lifetime. Our welcoming student support team will help you start your career on the right foot and stay in touch as your career progresses. Our alumni network is active and encouraging.

WE CARE ABOUT YOUR FUTURE

At MIT you’re more than a number. Our teachers know students by name. And our teaching methods support and challenge you to reach your potential.

Our care goes beyond the classroom. We ensure students have the support and skills they need to succeed in life and study.

We understand that choosing a course can be daunting at times. Our friendly student support service is there to answer your questions.

LET’S GET STARTED. CALL US TODAY.

At MIT you’ll experience great teaching in a supportive environment. And you’ll graduate with the skills you need to succeed.

Call our friendly student services team today to discuss your learning journey on +61 3 8600 6700.