B.Sc. in Sports Analytics — Turn Sports Data Into a Career

B.Sc. in Sports Analytics is a Bachelor of Science — a 4-year UGC-recognised undergraduate degree that teaches you to collect, analyse and model sports data to improve performance and decisions. It covers programming, statistics, data visualisation, machine learning, and video & wearable-sensor analysis, applied specifically to sport.

Eligibility is simply 10+2 (Class 12) from any recognised board and stream — there is no entrance exam. You do not need a prior coding or advanced maths background: the programme teaches statistics and Python/R from the ground up. A genuine interest in sport and comfort working with numbers is all you need to start.

The B.Sc. is a full 4-year undergraduate degree you begin right after Class 12. The PG Diploma in Sports Analytics is a shorter postgraduate programme for people who already hold a bachelor’s degree and want to specialise quickly. Choose the B.Sc. if you are a student after 12th who wants a complete degree; choose the PG Diploma if you already have a degree and want a fast, focused upskill.

Four years across 8 semesters, designed on NEP 2020 with multiple entry–exit. Year 1 builds foundations — statistics, Python & R, spreadsheets and data visualisation. Year 2 moves into predictive modelling, machine learning, SQL/databases, and sport-specific performance and video analysis. Year 3 completes the Bachelor’s with advanced analytics, a specialisation and live industry projects. Year 4 is a research-focused Honours year — deep learning, big-data for sport, and a dissertation. You can exit with a Certificate (Year 1), Diploma (Year 2) or degree (Year 3), and lateral entry with prior credits is supported.

Python, R and SQL; Tableau and Power BI for dashboards; statistical modelling and machine learning; sport-specific work with match video, GPS and wearable-sensor data, expected-goals / performance metrics, and talent-identification models. You graduate with a portfolio of real sports analytics projects.

Graduates work as sports data analysts, performance and video analysts, talent scouts, sports business-intelligence analysts, and sports data scientists — across leagues and franchises (IPL, ISL, PKL), sports-tech startups, broadcasters, academies and federations. Entry roles typically pay around ₹4–7L per annum, rising to ₹10–20L+ with experience and strong AI/data skills. Treat these as indicative ranges rather than guarantees.

Not here — admission is direct on your Class 12 eligibility plus a short counselling call, with no entrance test. Admissions for the 2027-28 intake are open now, with limited seats.

Yes — it is one of the fastest-growing areas in Indian sport. As leagues, franchises and broadcasters professionalise, demand for people who can turn data into on-field and commercial decisions is rising sharply, and analytics skills travel well internationally too.

Entry-level sports analytics roles in India typically start around ₹4–7L per annum, with rapid growth for those who combine sport domain knowledge with strong AI and data skills — mid-career specialists commonly reach ₹10–20L+. These are indicative market ranges, not promises.

Both. You can step straight into analyst roles across sport and sports-tech, or continue to a master’s in data science, sports science or analytics in India or abroad — the B.Sc. is a recognised undergraduate degree that supports postgraduate admission.