Master of Science in Data Science

Duration	1.5 Years
Level	Masters 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

Class 12th	No specific cutoff mentioned
Bachelors	No 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
Exams	TOEFL: 80 IELTS: 6.5 GRE: Accepted GRE Subjects test is recommended

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