M.Sc. Program in Big Data Analytics (NEP)

The MSc Big Data Analytics program, established in 2020 in collaboration with Tata Consultancy Services (TCS), is a cutting-edge graduate degree designed to equip students with the knowledge, skills, and expertise required to succeed in the field of data science. This comprehensive two-year program, spanning four semesters, provides a thorough understanding of big data analytics, from fundamental concepts to practical applications. Through a combination of hands-on projects, real-world case studies, and industry-relevant training, students will develop the skills to manage large datasets, leverage existing technologies, and design innovative solutions. Additionally, a mandatory internship in the final semester offers students the opportunity to apply their knowledge in a real-world setting, gaining invaluable industry experience and preparing them for a successful career in big data analytics.

Key Information

DurationCourse TypeCampus
2 YearsMasters DegreeJai Hind College, Churchgate

Programme Objectives

  • Graduates will be able to analyze complex data sets using advanced techniques and tools
  • Graduates will be able to design and manage big data analytics systems with cutting-edge technologies
  • Graduates will be able to apply data analytics to drive business decisions and solve real-world problems
  • Graduates will be able to communicate complex insights effectively and collaborate with stakeholders for business growth.

Curriculum

Sem 1Sem 2
Course TitleCourse TypeCourse TitleCourse Type
Probability & Stochastic ProcessMajor MandatoryEnabling Technologies for Data Science-IMajor Mandatory
Linear Algebra & Linear ProgrammingMajor MandatoryMachine Learning-IMajor Mandatory
Computing for Data SciencesMajor MandatoryCloud ComputingMajor Mandatory
MOOCMajor MandatoryValue ThinkungMajor Elective
Database ManagementMajor ElectiveAdvanced Statistical MethodsMajor Mandatory
Statistical MethodsRM

The minor electives will be offered from the following domains :- Marketing, Management, Data Science, Web Designing, Cybersecurity, Accounting, Taxation, Finance, Financial Markets, Investment Banking, Commercial Data Science, Banking, Biotechnology, Mass communication, Embedded Systems and IoT.

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