Overview
Propel yourself towards success with a career that perfectly aligns to industry demand. Learn how to identify, organise and analyse big data with Victoria University's Bachelor of Data Science.
In this data science degree, you'll learn to use specialised computational and statistical techniques to analyse big data and generate insights to tackle complex problems. These are pivotal skills for the 21st century, designed to meet the strong demand for data science professionals.
With industry-focused practices, real-world datasets, and hands-on tools, you will develop an in-depth understanding of deep learning, data management, data mining, and decision making. Throughout your study, you will learn how to wrangle, analyse, visualise, predict, and find insights into data to solve a host of real-world problems.
You will gain targeted expertise in:
- machine learning
- deep learning
- big data management
- data mining
- exploratory, predictive and prescriptive data analysis
- data visualisation
- business-oriented data analytics
- cyber security-oriented data analytics
- web, cloud and mobile application development.
On successful completion of this programme, students will be able to:
- Examine and apply foundational data science concepts used across domains, including data exploration, modelling, visualisation, predictive and quantitative analytics, industry-focused data analysis, and machine learning and deep learning techniques.
- Use and assess suitable data science frameworks, modern technologies and emerging AI tools with independent judgement and creativity to design, implement and evaluate data-driven solutions for real-world organisational challenges.
- Apply decision-making frameworks to address complex problems across various sectors, including ICT, government, banking and finance, retail, education, healthcare, social networks and marketing.
- Demonstrate ethical and professional responsibility in data science practice by considering legal, social and regulatory requirements related to data privacy, integrity and moral conduct, while maintaining a commitment to continuous learning and professional growth.
- Combine technical, analytical, communication, managerial, and interpersonal capabilities to contribute to solution design, development and project management within data analytics environments.
- Work collaboratively and inclusively within diverse, cross-functional teams to deliver data science projects that reflect industry needs and standards.
Benefit from focused learning through our award-winning VU Block Model®, where interactive workshops replace traditional lectures. Study one subject at a time in small, workshop-style classes that encourage interaction and teamwork.
How this benefits you:
- Dedicate full attention to each subject, building genuine mastery instead of surface-level knowledge across multiple programmes.
- Attend fix duration interactive workshops for a defined number of days a week, making room for work, internships or extracurricular assignments.
- Build stronger connections with peers and faculty, developing valuable skills in collaboration, communication and critical thinking.
VU provides a balance of theory and practical work to give you the skills to fast-track your career.
Our industry-focused curriculum prepares you with expertise in using theories, tools, and numerous marketable technologies, such as:
- mathematic and statistic fundamentals for data science
- database system management
- data science fundamental
- big data management
- data visualization
- predictive analysis
- machine learning and data mining
- advanced data science, with a focus on text processing, computer vision, speech processing, time series, forecasting, anomaly detection, etc
- IT profession and ethics in data science
- project management in data science
- data analytics for cyber security
- data analytics for business
- business system development
- web/mobile/cloud application development.
As part of your study, you will learn about and engage with:
- industry case studies and data sets
- industry software applications and tools
- assessment tasks
- Industry-relevant project work and experiential learning opportunities
In addition to our undergraduate and postgraduate courses, we also have strong partnerships with leading companies in the industry. These include but are not limited to AWS, Cisco, Microsoft and Oracle.
Victoria University is an academy for a multitude of certification courses from these leading industries. This means, as our students, you will have the opportunity to study certification courses taught by seasoned lecturers and research academics within the IT discipline with discounted certification examination fees.
For more details, please visit the following links and contact your course chair.
- Amazon – AWS Training & Certification
- Cisco – Cisco Networking Academy
- Microsoft – Microsoft Education
- Oracle – Oracle Academy
Entry requirements
When we assess your application, we look at your academic qualifications, work experience, relevant skills and personal attributes.
Minimum entry requirements include:
- Standard XII: ICSE and CBSE (Minimum 70%);
- Standard XII: State Boards (Minimum 75%);
- IB Diploma Programme (IBDP): Minimum 24 points and award of the full IB Diploma
- IB Career-related Programme (IBCP): Successful completion of IBCP certification and required IB subject scores
- Cambridge International / GCE A-Levels: Successful completion as per university entry requirements
- NIOS and other Open School Boards: Not accepted
- To satisfy English language requirements, submit one of the following:
|
Evidence Method |
Bachelor's degree |
|
12th Marksheet (CBSE, ICSE, State Board) |
English is mandatory with minimum 70 marks |
|
IELTS (Academic Module) (no band less than 6) |
6.0 |
|
Test of English as a Foreign Language (TOEFL) Internet (no section scores less than) |
67 (Listening 12, Speaking 18, Reading 15, Writing 21) |
|
Pearson Test of English (PTE) Overall score (no section scores less than) |
52 |
|
General Certificate of Education (GCE A Levels) |
7 (i.e. CDD) Predicted results accepted (for intakes where results will not be available in time) but MUST be two points higher. |
|
International Baccalaureate Diploma |
24 Must be awarded a full IB Diploma. Predicted results accepted (for intakes where results will not be available in time) but MUST be three points higher. |
|
International Baccalaureate Career-Related Programme (IBCP) |
Minimum requirement of 2 IB Higher Level (HL) subjects with a minimum score of 4 points (Adequate), OR 2 IB Standard Level (SL) subjects with a minimum score of 6 points (Very Good). |
Please note: Meeting the minimum requirements doesn't automatically guarantee admission.
Programme structure
Build a strong foundation in core information technology subjects in your first year, then deepen your expertise in your data science specialisation while gaining practical, industry-aligned experience through real-world projects and applied learning opportunities.
Our Bachelor of Data Science focuses on high-demand areas, including:
- machine learning
- deep learning
- big data management
- data mining
- exploratory, predictive and prescriptive data analysis
- data visualisation
- business-oriented data analytics
- cyber security-oriented data analytics
- web, cloud and mobile application development.
To attain the award of Bachelor of Data Science students will be required to complete 288 credit points of core units.
- Introduction to Programming | Credits : 12
- Introduction to Data Science | Credits : 12
- Computer Networks | Credits : 12
- Web Development and CMS | Credits : 12
- Operating Systems | Credits : 12
- Introduction to Database Systems | Credits : 12
- Introduction to Cyber Security | Credits : 12
- Introduction to Project Management | Credits : 12
- Data Science Methods and Applications | Credits: 12
- Human-Centred Design | Credits: 12
- OOP Programming with Gen AI Co Pilot | Credits: 12
- Quantitative Analysis | Credits: 12
- AI Driven Software Engineering with Structured Prompting | Credits: 12
- IT Profession and Ethics | Credits: 12
- Big Data | Credits: 12
- Machine Learning and Data Mining | Credits: 12
- IT Capstone Project 1 | Credits: 12
- Data Analytics for ICT Business | Credits: 12
- AI-Assisted Platform Agnostic Application Development | Credits: 12
- Predictive Analysis | Credits: 12
- IT Capstone Project 2 | Credits: 12
- AI-Enhanced Mobile Ecosystems | Credits: 12
- Data Analytics for Cyber Security | Credits: 12
- Advanced Data Science | Credits: 12
Fees & scholarships
We offer a transparent fee structure and scholarship opportunities that reward academic excellence, making quality education more accessible.
Fees for the Bachelor of Data Science programme are structured to offer flexibility, allowing you to pay annually or per semester. Annual fee details are below:
Domestic: INR 11,00,000 per year
International: INR 13,20,000 per year
Additional costs
|
Fee type |
Amount (INR) |
Payment and refund terms |
|
Application fee |
1,500 |
Non-refundable (To be paid at the time of form filling) |
|
Admission fee |
50,000 |
This is refundable on cancellation of admission (To be paid at the time of confirming admission) |
|
Security deposit |
50,000 |
To be paid at the time of admission. This amount is fully refundable at the time of graduation or upon withdrawal from the university, subject to clearance of all dues, return of university property (if applicable), and completion of exit formalities. |
At Victoria University India, we believe that talented, motivated students deserve every opportunity to succeed - no matter their financial background. Get up to ₹3 lakh* tuition fee waiver on annual tuition fees, every year, with the VU Block Model® India Scholarship.
The VU Block Model® Scholarship celebrates students who demonstrate strong academic performance and a commitment to excellence. This scholarship offers varying levels of tuition fee reductions, making it easier for high-achieving students to begin their journey with us.
Selection is merit-based, and decisions are made holistically by the Admissions Committee. A limited number of scholarships will be awarded each year, based on programme demand.
Students who score more than 80% are eligible for consideration for the Merit Scholarship. The award will be determined upon the declaration of results and shall be based on the strength of the applicant pool and the applicant's academic merit.
Careers
As organisations generate and rely on unprecedented volumes of data, the need for professionals who can transform information into strategic insights continues to rise.
A Bachelor of Data Science from VU equips you with the analytical, technical and problem-solving abilities required to thrive in this rapidly expanding field. Graduates can pursue careers across various industries, including technology, finance, healthcare, government, consulting and a wide range of data-driven fields.
Potential career paths include:
- Data Analyst
- Data Scientist
- Data Engineer
- Data Systems Developer
- Information Security Analyst
- Data Visualisation Specialist
- Reporting Analyst
- AI Scientist
- AI Engineer
- Business Intelligence (BI) Analyst
- Market Intelligence Manager
- Data Warehouse Architect
- Statistician
- Mobile, Web or Cloud Software Developer
