BSc (Hons) Data Science
Apply before 15 April 2026 and get your application fee waived.
- Build expertise in programming, data systems, and advanced analytics.
- Strengthen core skills in mathematics, statistics, and computing for data‑driven problem‑solving.
- Prepare for careers across technology, finance, healthcare, energy, and public sectors where data shapes critical decisions.
Download ProspectusAt a glance
Aberdeen Pioneer Scholarship
₹2,00,000 tuition fee waiver available to all eligible applicants who apply to the University of Aberdeen, Mumbai.
Why University of Aberdeen Mumbai?
Beyond disciplines
Flexible, cross-disciplinary programme tailored to your career goals
Beyond borders
Same UK academic standards, delivered in Mumbai
Beyond net zero
Strong focus on sustainability, preventive healthcare, and global impact
Research-led education
Learn from a university known for global research excellence
Why choose a BSc (Hons) Data Science from the University of Aberdeen, Mumbai?
- Build a future‑ready toolkit across mathematics, statistics, programming, data management and algorithm design, learning how to model complex systems and reason under uncertainty.Â
- Learn through hands‑on problem‑solving: coding, data analysis, and applied projects that mirror real analytical workflows and decision contexts.
- Study in Mumbai’s innovation economy, with exposure to technology, fintech and data‑driven enterprises shaping India’s growth.Â
- Graduates are able to apply mathematics + statistics + computing to real‑world challenges across sectors from technology and finance to energy and healthcare.Â
Programme structure
The programme combines mathematical depth with computational strength. You will develop technical expertise in programming, data management, and distributed systems, together with advanced abilities in mathematical modelling, statistical analysis, and algorithm design.Â
Through nonlinear dynamics, chaos theory, and modelling theory, you begin to see how small changes can shape significant outcomes. These subjects train you to recognise hidden structures, evaluate uncertainty, and work comfortably with intricate mathematical models; skills that carry weight across advanced study and applied quantitative fields.
You will also explore the ethical and legal frameworks governing data use and learn to communicate technical insights clearly to varied audiences. By the end of the degree, you will be able to use mathematics, statistics, and computing to address real-world challenges across sectors spanning technology, finance, healthcare, energy, etc.
- Algebra (15 credits)
- Calculus I (15 credits)
- Calculus II (15 credits)
- Modelling and Problem Solving for Computing (15 credits)
- Object‑Oriented Programming (15 credits)
- Programming (15 credits)
- Understanding Data (15 credits)
- Web Development (15 credits)
- Algorithms and Data Structures (15 credits)
- Applied Linear Algebra (15 credits)
- Databases and Data Management (15 credits)
- Dynamical Phenomena (15 credits)
- Human–Computer Interaction (15 credits)
- Probability (15 credits)
- Software Programming (15 credits)
- Statistics (15 credits)
- Artificial Intelligence (15 credits)
- Differential Equations (15 credits)
- Distributed Systems and Security (15 credits)
- Languages and Computability (15 credits)
- Principles of Software Engineering (15 credits)
- Professional Skills for Sciences (15 credits)
- Software Engineering and Professional Practice (15 credits)
Plus one of:
- Operating Systems (15 credits)
- Robotics (15 credits)
- Modelling Theory (15 credits)
- Natural Language Processing (15 credits)
- Nonlinear Dynamics and Chaos Theory I (15 credits)
- Research Methods (15 credits)
- Single Honours Data Science Project (45 credits)
Plus one of:
- Data Engineering (15 credits)
- Financial Mathematics (15 credits)
- Introduction to Machine Learning and Data Mining (15 credits)
Career Prospects
India is emerging as a global hub for data analytics, with increasing demand for professionals skilled in data management, artificial intelligence, and machine learning across all sectors. Also, according to the World Economic Forum’s Future of Jobs Report 2025, technology-driven roles such as Big Data Specialists, AI and Machine Learning Experts, Fintech Engineers, and Software Developers are among the fastest emerging careers. Graduates of this programme will be equipped with strong analytical, computational, and problem-solving skills that are highly valued across various sectors, including finance, healthcare, technology, energy, consulting, and government.
Career paths include:
- Data Analyst
- Data Scientist
- Machine Learning Engineer
- AI Specialist
- Data Engineer
- Quantitative Analyst
Beyond these roles, the programme also opens pathways to advanced academic and research opportunities in data science, artificial intelligence, and related disciplines. Whether you aspire to innovate in industry or pursue cutting-edge research in academia, the BSc Data Science degree gives you the versatility and depth to shape your future on your own terms.
Interested in this programme?
Go beyond boundaries. Be part of a legacy spanning 530+ years.
Enquire nowJoin a Worldwide Alumni Community
Join a global alumni network that connects Aberdeen graduates across industries, regions, and careers while supporting lifelong learning, mentorship, and professional growth.
Sorabh Dhawan
My time at Aberdeen was transformative. It shaped my global outlook, sharpened my financial and strategic thinking, and instilled lifelong values of integrity, curiosity, and purpose-driven leadership. These learnings became the foundation of my professional journey. Aberdeen's teachings continue to inspire me as I move forward, committed to building institutions, enabling growth, and leaving a positive impact on people and the financial services ecosystem.
Admission Process
Step 1: Apply Online
Submit your application through the University's official admissions portal.
Step 2: Application Review
Your application is reviewed holistically, considering:
- Academic performance
- English language proficiency
- Programme suitability
Step 3: Document Assessment
The Admissions Team reviews submitted documents, including:
- Academic transcripts of Class 10, 11, and 12Â
- Personal statement
Step 4: Provisional Evaluation (if results are pending)
If a student has not yet received their Class 12 marksheet, the application will be evaluated based on the Class 10 marksheet and either the Class 11 results or Class 12 predicted results.
Step 5: Offer Decision
- Unconditional offer: All requirements met
- Conditional offer: Pending documents or results
- Ineligible: Formal notification issued
Step 6: Notification
All decisions are processed through the official admissions system and communicated via email.
FAQs
You’ll gain experience with object‑oriented programming, data management, web technologies, and machine‑learning toolkits—layered on rigorous mathematics and statistics.
It emphasises mathematical/statistical foundations alongside computing, enabling you to design algorithms, reason about uncertainty and build robust models—skills that transfer across sectors.Â
Indicative entry: Class XII ≥75% overall; English ≥80%; 75% in any two Maths/Science subjects. International equivalents apply (A‑levels BBC with two Maths/Science; IB 32 with two HL Maths/Science).Â
Seats (Year 1): 40.
Indicative tuition: ₹12 lakhs/year (domestic); ₹13.2 lakhs/year (international). The Aberdeen Pioneer Scholarship offers a ₹2 lakh tuition‑fee waiver for eligible students applying by the stated deadline.Â
Entry paths include data analytics, junior data science, data engineering, ML ops/experimentation, BI and risk analytics across tech, BFSI, consulting, energy and health.
