Information Technology & Applied Sciences

MSc. In Data Science AI

Advanced postgraduate program in Data Science and Artificial Intelligence covering machine learning, deep learning, and data engineering.

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Duration
2 Years
Eligibility
Bachelor's degree with Mathematics or Statistics, or a computing degree (B.Sc / BCA / B.Tech)

About the MSc. In Data Science AI programme

A two-year postgraduate programme for graduates who already have quantitative grounding and want to convert it into data science practice at depth. Year one covers statistical learning, machine learning and big data engineering at a level that assumes mathematical maturity; year two is specialisation plus a dissertation, which may be taken in industry.

Why study MSc. In Data Science AI at TIU

Assumes the maths, goes deeper

Statistical learning is taught at postgraduate depth rather than re-teaching undergraduate foundations.

Dissertation can be industry-based

Year-two research may be hosted with a partner organisation on a live problem.

Engineering as well as modelling

Big data systems and deployment are taught alongside modelling, which is what separates a data scientist from a notebook user.

Route into research or industry

The dissertation structure supports both a PhD application and an industry data science role.

What you study, year by year

Semester 1— Statistical and computational foundations
Statistical Learning TheoryAdvanced Python for Data ScienceDatabase & Data Warehouse SystemsLinear Algebra & OptimisationData Visualisation
Semester 2— Machine learning and scale
Machine LearningDeep LearningBig Data Technologies (Spark, Hadoop)Time Series & ForecastingCloud Data Platforms
Semester 3— Specialisation
Natural Language Processing or Computer VisionGenerative AI & Foundation ModelsMLOps & Model DeploymentElectiveDissertation Phase I
Semester 4— Dissertation
Dissertation Phase IIIndustry Project or Research ThesisViva Voce

Indicative structure. Module sequencing may vary by batch and regulatory guidelines.

Tools and platforms

What you'll work with
PythonRPyTorchApache SparkSQLDockerMLflowGoogle Cloud / IBM Cloud

Who this programme suits

  • Graduates with a quantitative degree moving into data science
  • B.Sc / BCA graduates wanting postgraduate depth before entering the field
  • Candidates considering a PhD but wanting a taught programme first

Where this degree takes you

Roles graduates target
AI EngineerML ResearcherData ScientistNLP Specialist
Industries that hire
Data science teamsQuantitative financeResearch and analytics consultingHealthcare and bioinformaticsTechnology products

MSc. In Data Science AI: common questions

Yes, if your bachelor's degree included Mathematics or Statistics. The programme assumes quantitative maturity more than prior programming depth, though Python is expected early.

Admissions for 2026 are open

Talk to the admissions team about eligibility, scholarships, and the application timeline for MSc. In Data Science AI.

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