Master of Science in Data Science

Master of Science in Data Science

Harvard University

Cambridge, Massachusetts, USA
Master of Science in Data Science
Duration1.5 Years
LevelMasters Program
  • Data science lies at the intersection of statistical methodology, computational science, and a wide range of application domains
  • The Data Science area of study offers strong preparation in statistical modelling, machine learning, optimization, management and analysis of massive data sets, and data acquisition
  • The program also focuses on topics such as reproducible data analysis, collaborative problem solving, visualization and communication, and security and ethical issues that arise in data science
  • After studying the program student would be able to
    • Build statistical models and understand their power and limitations
    • Use machine learning and optimization to make decisions
    • Visualize data for exploration, analysis, and communication
    • Assemble computational pipelines to support data science from widely available tools
    • Conduct data science activities aware of and according to policy, privacy, security and ethical considerations
Fees componentsAmount
Tuition & fees4019411 INR
Hostel & Meals733425 INR
Insurance88327 INR
Books and Supplies65916 INR
Miscellaneous Expense473863 INR
Active File Fee21972 INR
Housing Application Fee 5493 INR
Total1388996 INR

Entry Criteria

Class 12thNo specific cutoff mentioned
BachelorsNo specific cutoff mentioned
  • Students with bachelor’s degrees in the natural sciences, mathematics, or engineering can apply, although university welcomes applicants with undergraduate training in a wide range of academic disciplines
  • Applicants must have demonstrated a capacity for advanced computational work by
    • excelling in courses in math, computer science, statistics or scientific computing;
    • exploring computational  or statistical approaches in undergraduate research;
    • or through distinctive professional accomplishment
  • There are no formal prerequisites for applicants to the master’s programs. However successful applicants do need to have sufficient background in Computer Science, Math, and Statistics - including fluency in at least one programming language and knowledge of calculus, linear algebra, and statistical inference
ExamsTOEFL: 80

IELTS: 6.5

GRE: Accepted
  • GRE Subjects test is recommended
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