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.
- Core Academic Pillars: The program builds a strong foundation in mathematics and statistics, including probability, linear algebra, and calculus, to support predictive modeling and data analysis. Students develop programming expertise in Python (with libraries like Pandas, NumPy, and Scikit-learn), R, and SQL for efficient data handling and database management.
- 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
- Practical Learning & Live Projects: Capstone project with real datasets, Industry case studies, Dashboard building (Power BI / Tableau, Internship opportunity mention, Hackathon / simulation-based learning
- 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.
- Advanced & Emerging Topics: The Data Science course in Delhi focuses on advanced and emerging technologies such as Artificial Intelligence and Machine Learning. It covers key concepts including supervised and unsupervised learning, deep learning, and neural networks. The program also introduces modern innovations like Generative AI, Prompt Engineering, and Large Language Models (LLMs). Along with technical expertise, it emphasizes responsible AI practices, including ethics, bias reduction, and data privacy.
Data Science Course content
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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.
Career Outcomes:
Graduates typically pursue high-demand roles with projected job growth of 34–36% over the next decade. Common titles include:
Data Scientist
Machine Learning Engineer
Data Architect
Business Intelligence Analyst
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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.
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.
This program is ideal for fresh graduates from BBA, B.Com, B.Sc, BCA, or Engineering who want to build a career in Data Science. It is also suitable for working professionals and individuals with a strong analytical mindset who are looking to transition into Data Analytics, AI, or Business Analytics roles.
Companies are using data to make better business decisions. With the growing use of AI and automation, the need for skilled data professionals is increasing across all industries.