BDA301 - Entrepreneurship and Innovation

Credit Points: 15 credit points

Workload: 48 hours

Prerequisite: BDA215 Software Engineering and Project Management

Co-requisite: N/A

Aims & Objectives

This is a core unit out of a total of 24 units in the Bachelor of Data Analytics (BDA). This unit addresses the BDA course learning outcomes and complements other courses in related fields by developing students’ specialised knowledge of entrepreneurship and innovation. For further course information refer to: This unit is part of the AQF level 7 (BDA) course.

Organisations are moving rapidly to adopt digital technology across all domains. Top companies are building powerful databases and systems to enhance the speed and accuracy of IT decision making. Students will be able to do survey on research, development, and trends in innovative computing in Information Communications and Technology (ICT).

This unit will cover the following topics:

  • An integrative framework for business-model innovation
  • Negotiation skills, business networking, business vision and commitment
  • Tools and methodologies for the quantitative, qualitative, analytical and effectual evaluation, and analyzes their applicability and efficiency
  • Guidance to managers, decision-makers and entrepreneurs 
  • Successful business-model innovation
  • An integrated approach to the methods and tools applied

Learning Outcomes

4.1 Course Learning Outcomes
The Course learning outcomes applicable to this unit are listed on the Melbourne Institute of Technology’s website: 

4.2 Unit Learning Outcomes
At the completion of this unit students should be able to:
a. Demonstrate a sound knowledge and understanding of entrepreneurship and innovation in the context of Information Systems in organisations
b. Survey current cutting-edge technologies in terms of innovation and entrepreneurship;
c. Apply negotiation skills in management and computing techniques to match business requirements;
d. Explore ways entrepreneurs create support networks to help in being successful innovators and mentors;
e. Apply skills in business innovation and entrepreneurship;

Weekly Topics

This unit will cover the following content:

Week Topics
1 Introduction to entrepreneur and innovation
2 The entrepreneurial mind-set: cognition and career
3 Ethical, social and sustainable entrepreneurship
4 Business strategies for entrepreneurs
5 Successful business-model innovation
6 An integrated approach to the methods and tools applied
7 Designing resilient entrepreneurship: from opportunity identification to business model
8 Growing and planning entrepreneurial ventures
9 Financial matters for entrepreneurial ventures
10 Synergies in innovation network teams
11 Building a culture of continuous innovation
12 Innovation leadership success stories


Assessment Task Due Date A B Learning Outcomes Assessed
Formative Assignment 1 Part A
Assignment 1 Part B
Week 3
Week 8
Assignment 2 Week 11 25%   d-e
Laboratory participation & submission Week 2 - 11 10%   a-e
Final Examination (2 hours) End of trimester   50% a-e
TOTALS   50% 50%  

Task Type: Type A: unsupervised, Type B: supervised.

Class Participation and Contribution
This unit has class participation and student contribution as an assessment. The assessment task and marking rubric will follow the Guidelines on Assessing Class Participation ( Further details will be provided in the assessment specification on the type of assessment tasks and the marking rubrics.

Presentations (if applicable)
For presentations conducted in class, students are required to wear business attire.

Textbook and Reference Materials



  • H. Frederick , Entrepreneurship, Cengage Learning Australia, 2019
  • W.J. Rothwell, D. G. Gliddon, Innovation Leadership, Routledge, 2018
  • P. Vasant,‎ I. Litvinchev ,‎ J. A. Marmolejo-Saucedo , Innovative Computing Trends and Applications, Springer; 1st ed. 2019.
  • J. F. Tesch  Business Model Innovation in the Era of the Internet of Things: Studies on the Aspects of Evaluation, Decision Making and Tooling, Springer, 2019
  • E. W. Marx, Voices of Innovation: Fulfilling the Promise of Information Technology in Healthcare, CRC Pr I Llc; 1 edition, 2018
  • J. Chattopadhyay ,‎ R. Singh ,‎ V. Bhattacherjee , Innovations in Soft Computing and Information Technology, Springer; 1st ed., 2019 

Adopted Reference Style: IEEE

Graduate Attributes

MIT is committed to ensure the course is current, practical and relevant so that graduates are “work ready” and equipped for life-long learning. In order to accomplish this, the MIT Graduate Attributes identify the required knowledge, skills and attributes that prepare students for the industry.
The level to which Graduate Attributes covered in this unit are as follows:

Ability to communicate Independent and Lifelong Learning Ethics Analytical and Problem Solving Cultural and Global Awareness Team work Specialist knowledge of a field of study


Levels of attainment Extent covered
The attribute is covered by theory and practice, and addressed by assessed activities in which the students always play an active role, e.g. workshops, lab submissions, assignments, demonstrations, tests, examinations.
The attribute is covered by theory or practice, and addressed by assessed activities in which the students mostly play an active role, e.g. discussions, reading, intepreting documents, tests, examinations.
The attribute is discussed in theory or practice; it is addressed by assessed activities in which the students may play an active role, e.g. lectures and discussions, reading, interpretation, workshops, presentations.
The attribute is presented as a side issue in theory or practice; it is not specifically assessed, but it is addressed by activities such as lectures or tutorials.
The attribute is not considered, there is no theory or practice or activities associated with this attribute.