Data Science Course
Postgraduate Diploma in Data Science
Postgraduate Diploma in Data Science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from both structured and unstructured data. Data science is closely related to data mining, machine learning, and big data. Data Science program at IIBS Bangalore is a two-year, AICTE-approved program designed to help students develop expertise in data analytics, artificial intelligence, machine learning, and business intelligence. Through industry-focused learning, live projects, internships, and placement support, students gain the skills and practical experience needed to succeed in today's data-driven world.
- Last Update : Aug 06, 2026
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Data Science Key Program Highlights
- Industry-Centric Curriculum: This PGDM course in Data Science is tailored to meet the needs of businesses across various sectors, making it one of the most sought-after data science colleges in Bangalore
- Hands-On Learning: Learn to use popular tools like Python, R, SQL, Tableau, Power BI, and Excel as part of your PG Diploma in Data Science in Bangalore.
- AI & Machine Learning Focus: Learn advanced techniques in machine learning, generative AI, natural language processing (NLP), and predictive analytics, making this PGDM in Data Science ideal for those looking to specialize in AI-powered business solutions.
- Cloud & Big Data Technologies Gain exposure to cutting-edge platforms like AWS, Azure, Google Cloud, and big data frameworks such as Hadoop and Spark, ensuring you're ready for top roles in the data science industry a key reason students choose us among data science colleges in Bangalore.
- Capstone Projects & Case Studies: Work on live, real-world projects using industry data in fields like finance, healthcare, and e-commerce. These projects, part of our PGDM course in Data Science, provide practical experience and strengthen your problem-solving abilities.
Value Added Courses and Certification
In addition to the regular curriculum, IIBS enriches the learning experience through value-added certifications. Students complete 24 certifications, including 8 mandatory certifications, 4 specialization-specific certifications, 12 certifications from Harvard Business School (chosen by students), and 10 IIM certifications through MOOCs (also chosen by students). With access to 95 courses, students gain extensive knowledge and practical skills across multiple domains.
Data Science
Data Science Syllabus - Theory and Practice
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Semester 1
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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 Training – Training to help students prepare for job interviews and placement drives. Resume Building – Help students create a professional resume for data science and analytics jobs. Mock Interviews – Practice interviews to improve confidence and communication. Live Projects – Students get practical experience by working on real-world data and business problems. Internships – Internship opportunities to gain workplace experience before graduation. Industry Interaction – Sessions with industry professionals to understand current trends and job requirements.3000 +
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Data Science Course FAQ
It's a postgraduate diploma program (not a degree) offered by autonomous B-schools, focused on building skills in data analysis, machine learning, statistics, and business decision-making using data.
Post Graduate Diploma in Management with a specialization in Data Science.
Statistics & Probability,
Python/R Programming,
Database Management & SQL,
Machine Learning & AI,
Data Visualization (Power BI/Tableau),
Big Data Technologies,
Business Analytics,
Capstone Project/Internship
A bachelor's degree (any stream, usually 50%+ marks) from a recognized university.Valid scores in national-level entrance exams: CAT, MAT, XAT, CMAT, or IIBSAT.
A Post Graduate Diploma in Management (PGDM) in Data Science is generally a 2-year full-time program.
Analytical thinking, basic math/statistics, logical reasoning, and willingness to learn tools like Python, SQL, and Excel. Strong coding background isn't compulsory going in — it's taught during the course.
Yes, absolutely. Many successful data science professionals come from commerce, science, or even arts backgrounds. The program is designed to teach technical skills from scratch.
Data Analyst, Data Scientist, Business Analyst, Machine Learning Engineer, Data Engineer, AI Specialist, and Analytics Consultant.
Companies like TCS, Infosys, Accenture, Deloitte, Amazon, Flipkart, Wipro, and various analytics/consulting firms actively recruit from this field.
Bangalore is India's tech hub, home to major IT companies, startups, and analytics firms. This means better internship opportunities, industry exposure, and networking during and after the program.
Industry exposure helps students understand how data science is used in real businesses, gain practical experience, and develop job-ready skills.
Internships and live projects help students gain practical experience, work with real data, develop useful skills, and prepare for data science jobs.
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