M.S. in Data Science

🎓 Postgraduate · Technology

Course Overview

This Master's program combines advanced data science, artificial intelligence, and machine learning with business applications to prepare students for high-impact roles in data-driven industries.

Students gain hands-on experience with real-world datasets, predictive modelling, and analytics tools used by leading global companies.

Key Program Highlights

  • Advanced AI, Machine Learning & Data Analytics
  • Industry-focused real-world projects
  • Capstone project with commercial impact
  • Business & technology integrated curriculum
  • High-demand global career opportunities

Popular Specializations

  • Machine Learning
  • Artificial Intelligence
  • Big Data Analytics
  • Business Analytics
  • Data Engineering
  • Deep Learning

Career Opportunities

  • Data Scientist
  • Machine Learning Engineer
  • AI Engineer
  • Business Intelligence Analyst
  • Data Analyst
  • Analytics Consultant

Requirements

Admission requirements may vary based on the university, country, and intake. The following documents are commonly required for an M.S. in Data Science.

Academic Requirements
  • Bachelor's Degree Mark Sheets (minimum 60% or equivalent GPA)
  • Bachelor's Degree Certificate (final or provisional accepted)
  • Academic Transcripts for all semesters / years
  • Statement of Purpose (SOP) outlining academic and career goals
English Language Requirements
  • IELTS Academic - typically 6.5 overall (no band below 6.0)
  • TOEFL iBT or PTE Academic (accepted by most universities)

Universities in some countries offer IELTS waivers to eligible students.

Identity Proof
  • Valid passport with minimum 6 months validity
  • Recent passport-size photographs (as per guidelines)
Medical Requirements
  • Medical fitness certificate issued by a registered practitioner
  • Vaccination records as required by the destination country
Professional Documents (Optional)
  • Updated resume / curriculum vitae (CV)
  • Work experience letter (recommended for experienced applicants)
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Tuition fee
Disclaimer: Fees are indicative and subject to change.
Intake September
Duration 1 year
Mode of study Full Time
Mode of study Full Time
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.