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Quick Facts

Total Fees
3.00 L
Seats
60

Fees Details

General

3.00 L

Disclaimer: Data for total fees has been calculated based on all years/semesters as provided by the college. The actual fees may vary.

Course Details

MODE

Full time

DURATION

36 Months

The B.Sc. in Applied Statistics and Data Analytics (ASDA) is a dynamic and interdisciplinary field that combines Computer Science, Data Analytics, Machine Learning, and Statistics. It empowers professionals to collect, analyse, and harness Data and Statistics to derive valuable insights and make informed decisions. This course opens the door to a wide range of opportunities in various sectors that rely on data-driven expertise. Nowadays industries are experiencing unprecedented growth, driven by the development of technology. With this growth comes an increased need for professionals who can navigate and leverage the wealth of data and statistics. As long as data remains the lifeblood of the industry, this course will remain in high demand, poised to shape the future of industries.

It combines coursework in statistics and data analytics with hands-on experience analysing real datasets. Students learn about statistical concepts such as Deep Learning, Real Analysis, Demography, Data Analytics for HRM , Integral Transform , Statistical Computing Using R, Business Analytics, Functions of Complex Variables, Survey Sampling Techniques, Structural Query Language (SQL), Lattice Theory, Bioinformatics, Power BI, Tableau Probability, Statistical Inference, and Regression Analysis, as well as methods for data visualization, Machine Learning, Data Mining, Statistical software and programming languages such as R, Python and gain experience using these tools to analyse data.

Graduates of this programme are well-prepared for careers in fields such as market research, data science, business analytics, or public policy analysis, where they apply their skills to solve real-world problems and make data-driven decisions. They are also well-prepared for post graduate study in statistics, data science, or related fields.


Eligibility Criteria

Minimum 50% aggregate score in 10+2/Class 12th or in equivalent examination with Mathematics as a subject (at least 45% marks, in case of Reserved Class category candidate belonging to Maharashtra State only)
or
Minimum 55% aggregate score in any Engineering Diploma from any UGC-recognised university

Admission Details

The selection process is based on MIT-WPU CET 2024 Personal Interaction score.

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