Bachelor of Data Science – VU Sydney

• Introduction to Data Science
  Unit code: NIT1001 | Credits: 12
• Web Development and CMS
  Unit code: NIT1101 | Credits: 12
• Introduction to Programming
  Unit code: NIT1102 | Credits: 12
• Computer Networks
  Unit code: NIT1104 | Credits: 12

• Introduction to Cyber Security
  Unit code: NIT1002 | Credits: 12
• Introduction to Database Systems
  Unit code: NIT1201 | Credits: 12
• Operating Systems
  Unit code: NIT1202 | Credits: 12
• Introduction to Project Management
• Unit code: NIT1203 | Credits: 12

• Data Science Methods and Applications
  Unit code: NIT2002 | Credits: 12
• Human-Centred Design
  Unit code: NIT2003 | Credits: 12
• OOP Programming with Gen AI Co Pilot
  Unit code: NIT2004 | Credits: 12
• Quantitative Analysis
  Unit code: NIT2005 | Credits: 12

• AI Driven Software Engineering with Structured Prompting
  Unit code: NIT2006 | Credits: 12
• IT Profession and Ethics
  Unit code: NIT2201 | Credits: 12
• Big Data
  Unit code: NIT2202 | Credits: 12
• Machine Learning and Data Mining
  Unit code: NIT2251 | Credits: 12

• IT Capstone Project 1
  Unit code: NIT3003 | Credits: 12
• Data Analytics for ICT Business
  Unit code: NIT3007 | Credits: 12
• AI-Assisted Platform Agnostic Application Development
  Unit code: NIT3009 | Credits: 12
• Predictive Analysis
  Unit code: NIT3151 | Credits: 12

• IT Capstone Project 2
  Unit code: NIT3004 | Credits: 12
• AI-Enhanced Mobile Ecosystems
  Unit code: NIT3012 | Credits: 12
• Data Analytics for Cyber Security
  Unit code: NIT3202 | Credits: 12
• Advanced Data Science
  Unit code: NIT3251 | Credits: 12

On successful completion of this course, students will be able to:

1. Analyse core data science concepts applicable across various fields, including data exploration, data modelling, data visualisation, predictive analytics, quantitative analytics, industry-oriented data analytics, machine learning and deep learning;
2. Appraise data science principles, contemporary technologies, and emerging AI tools, with intellectual independence and creativity to identify, design, implement and evaluate data-driven solutions that address real-world enterprise problems;
3. Synthesise decision-making methodologies to solve problems across a broad range of sectors, including ICT, government, banking and finance, retail, education, health, social network, and marketing;
4. Exhibit ethical awareness and professionalism in data science practices, with attention to legal, social, and compliance considerations in areas such as data privacy, integrity and ethics in the field of data science, while exemplifying a commitment to lifelong learning and ongoing professional development;
5. Integrate technical, analytical, communication, managerial and interpersonal skills to support solution design, development, and project management in data analytics practice; and
6. Collaborate effectively in diverse, interdisciplinary teams to deliver inclusive, industry-relevant data science projects.

You must provide evidence that you've completed an approved English language test and achieved results as described below:

• IELTS (Academic Module): Overall score (no band less than) 6.0 (6.0)
• TOEFL Internet: Overall score (section score no less than) 67 (Listening 12, Speaking 18, Reading 15, Writing 21)
• Pearson Test of English (PTE): Overall score (no section score less than) 50-57 (50)
• University of Cambridge - Advanced (CAE): Total score of 52
• VU English - University Preparation UPU (Undergraduate): Achieved
• English Language School in Sydney (ELSIS)- EAP 2 (advanced): B grade.

Recognition of prior English language studies

If you've completed a qualification where English was the primary language of instruction, you may be eligible for an English language exemption. Check our Guide to English Language Requirements to find out if you qualify.

Students who don't meet the English language requirements may choose to undertake an intensive English course at the English Language School in Sydney (ELSIS).

Meeting the minimum entry criteria does not guarantee entry into this course.

Completion of an Australian Senior Secondary Certificate (VCE or equivalent) including Units 3 and 4: a study score of at least 25 in English (EAL) or 20 in any other English (or equivalent).
PLUS:
A study score of at least 20 in Mathematics (any).
OR:
Completion of an Australian Advanced Diploma or Diploma (or equivalent).
PLUS:
IELTS (or equivalent): Overall score of 6.0 (with no band less than 6.0 in Listening, Reading, Writing and Speaking).
OR:
Completion of a Foundation course or equivalent.

Find out if you meet the minimum academic (international qualification) requirements to be eligible to apply for this course by reviewing the academic entry requirements listed by country.

Applicants must be aged 18 or over to be eligible to apply for this course.