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University of Aberdeen (Mumbai Campus)

Mumbai, Maharashtra, India

BSc (Hons) Data Science

The BSc (Hons) Data Science at the University of Aberdeen, Mumbai, is a four-year undergraduate programme for students eager to master data analytics, programming, and mathematical modelling. It equips you with the skills to analyse complex datasets, design algorithms, and extract reliable insights that drive decisions across fast-growing sectors such as technology, finance, energy, healthcare, and government, preparing you to meet the global demand for professionals who can integrate mathematics, statistics, and computing to solve real-world problems with clarity and precision.
Data underpins automation, prediction, and innovation in every modern industry. The BSc (Hons) Data Science prepares you to work at the core of these transformations, combining advanced training in mathematics, programming, and data management. Unlike traditional data science degrees, it offers rigorous mathematical and statistical foundations alongside computing expertise, helping you understand, model, and manage complex real-world datasets with precision and creativity.

Accreditation
Founded in 1495, the University of Aberdeen is the third-oldest university in Scotland and the fifth-oldest in the English-speaking world. It is ranked 12th in the UK by the Guardian University Guide 2025 and 15th in the UK by the Times and Sunday Times Good University Guide 2025. The University is also ranked 3rd in Scotland for Overall Student Satisfaction in the 2025 National Student Survey (NSS). With a legacy of excellence in teaching and research, the University counts several Nobel Laureates in STEM disciplines among its distinguished alumni, faculty, and researchers.

At the University of Aberdeen Mumbai, you will study under the same academic standards and with the same commitment to excellence that define the institution’s global reputation.

Intakes

  • Sep

Application Processing Time in Days: 10

Minimum English Language Requirements

English Level Description IELTS (1.0 -9.0) TOEFL IBT (0-120) TOEFL CBT (0-300) PTE (10-90)
Expert 9 120 297-300 86-90
Very Good 8.5 115-119 280-293 83-86
Very Good 8 110-114 270-280 79-83
Good 7.5 102-109 253-267 73-79
Good 7 94-101 240-253 65-73
Competent 6.5 79-93 213-233 58-65
Competent 6 60-78 170-210 50-58
Modest 5.5 46-59 133-210 43-50
Modest 5 35-45 107-133 36-43
Limited 4 32-34 97-103 30-36
Extremely Limited < 4 < 31 < 93 < 30

Job Opportunity Potential

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

Admission Requirement / Eligibility Criteria

Indian boards (CBSE/ISC/State boards):

  • A minimum of 75% overall at Standard XII, with a minimum of 80% in English at Standard XII and a minimum of 75% in either Mathematics OR two Science subjects at Standard XII.

International students:
Applicants must hold either of the following:

  • A Levels (UK/Cambridge): Minimum BBC, including any two subjects in Mathematics or Science.
  • International Baccalaureate (IB): Minimum 32 points overall, with 5, 5, 5 at Higher Level, including any two Higher Level subjects in Mathematics or Science.

 

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  • Course Type: Full Time
  • Course Level: Bachelors/UG Degree
  • Duration: 04 Year  
  • Total Tuition Fee: 3600000 INR
    Average Cost of Living: 500000 INR /year
    Application Fee: N/A
This Institution is not directly represented by us and applications / visa support (to them) attract a nominal charge
Disclaimer: GR updates the information on this page from time to time; however, there may have been more recent updates. Please refer to the university website for the latest information.