Data Science Program Key Highlights
- Industry-Centric Curriculum A well-designed curriculum created with insights from industry experts, ensuring you learn the most relevant and updated skills needed in today’s data-driven business landscape.
- Hands-on Learning Gain practical experience with essential Data Science tools such as Python, R, SQL, Tableau, Power BI, and Machine Learning libraries.
- Research Opportunities: Immerse yourself in groundbreaking research projects that push the boundaries of data science. Our program encourages students to explore innovative solutions, fostering a culture of curiosity and discovery that extends beyond the classroom.
- Industry-Embedded Learning: Gain hands-on experience through our industry partnerships, exposing you to real-world challenges faced by leading companies. Engage in live projects, internships, and collaborative initiatives that bridge the gap between theoretical knowledge and practical application
- Expert Faculty: Learn from experienced professionals and academicians who bring deep knowledge from the fields of analytics, artificial intelligence, and data engineering to the classroom.
- Global Exposure & Networking Opportunities Participate in workshops, seminars, and guest lectures by industry leaders. Build valuable connections through SSIM’s strong alumni network and corporate partnerships.
Data Science Course content
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Semester 2
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Semester 3
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Semester 4
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Semester 5
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Semester 6
Career Assistance
Placement-Focused Training:Students are coached for real industry interviews through aptitude practice, coding assessments, case study solving, and technical concept revision.
Exclusive Job Opportunities:campus drives with analytics, AI, and tech companies offering roles like Data Analyst, Machine Learning Engineer, Business Analyst, and Data Engineer.
Soft Skills & Communication Training: Sessions to enhance communication, presentation, and problem-solving skills to ensure students perform effectively in interviews and workplace settings.
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Recruitment Partners
Data Science Course FAQ
PGDM in Data Science is a two-year postgraduate program that combines management education with data analytics, machine learning, statistics, and business intelligence to prepare students for data-driven decision-making roles.
Graduates from any discipline with at least 50% marks from a recognized university can apply. Most institutes accept exams like CAT, XAT, GMAT, CMAT, or their own entrance test, followed by a personal interview.
You will learn Python, R, SQL, Machine Learning, Data Visualization, Statistics, Big Data Tools, and Business Analytics with real-time industry projects.
You can work as a Data Analyst, Business Analyst, Data Scientist (entry-level), Machine Learning Associate, BI Analyst, or Analytics Consultant.
No. Students from any stream can join. Basic math and logical skills are enough, as the program starts from fundamentals.
A PGDM blends management + data analytics, making you job-ready for roles requiring both business understanding and analytical skills.
The PGDM in Data Science is typically a 2-year full-time program, spread over four semesters.
It offers a perfect blend of data science skills and management knowledge, making you job-ready for roles across IT, finance, marketing, healthcare, startups, and consulting with strong career growth opportunities.
Graduates from any discipline with at least 50% marks from a recognized university are eligible for PGDM in Data Science.
Yes, SSIM-IIBS offers strong internships and placements. Students get real industry exposure, hands-on projects, and support from an active placement cell, ensuring excellent opportunities in data-driven roles.