Msc program in Big Data Analytics
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
Duration
2 Year
Course Type
Masters Degree
Campus
Jai Hind College, Churchgate
Institute
Programme Code
Mode of study
Full time
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.
Pedagogy
Our pedagogical approach is student-centric, fostering a supportive environment that facilitates holistic development. We introduce students to the college ecosystem through orientation sessions, provide real-world insights and applications through expert sessions with industry professionals, and encourage critical thinking and problem-solving through research opportunities via platforms like Avishkar and Xplore, and the Discussion Club. By adopting this approach, we empower students to become active learners, preparing them for academic and professional success.Curriculum
| Sem 1 | Sem 2 | ||
| Course Title | Course Type | Course Title | Course Type |
| Probability & Stochastic Process | Major Mandatory | Enabling Technologies for Data Science-I | Major Mandatory |
| Linear Algebra & Linear Programming | Major Mandatory | Machine Learning-I | Major Mandatory |
| Computing for Data Sciences | Major Mandatory | Cloud Computing | Major Mandatory |
| MOOC | Major Mandatory | Value Thinkung | Major Elective |
| Database Management | Major Elective | Advanced Statistical Methods | Major Mandatory |
| Statistical Methods | RM | ||
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.
Admissions
Graduate Attributes
Academic Excellence
Engagement with the Society
Leadership and Team Spirit
Strong Presentation and Communication Skills
Analytical thinking
Creativity and Originality
Environmental Sensitivity
Professional Efficiency
Critical Thinking