Third Optional Subject (TOS) in 12th : Chemistry / Computer Science / Electronics/ Information Technology / Biology / Informatics Practices / Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship
Program Overview
B.Tech in Computer Science and Engineering - Data Science is a four-year undergraduate program that teaches students how to analyze, interpret, and use data for informed decision-making.
The program helps prepare students for careers in which they can extract meaningful insights from vast datasets to solve complex problems across industries. Students gain a solid foundation in database management, design and analysis of algorithms, and operating systems. Advanced topics such as big data analytics, data visualization, and deep learning further enhance their knowledge. Practical exposure through lab projects and internships helps them effectively tackle this data-driven field.
Graduates of the B.Tech in data science program are equipped to pursue roles such as data analysts, data scientists, business analysts, and data engineers.
Indian Administrative Officer in Ministry of information broadcasting, New Delhi
Mr. Ankur Lahoty
Proud to see that a sapling (MITM) has grown to a banyan tree (Medicaps University). I am grateful t...
Dinesh Kumar Amresh
In better times, I loved being at Medicaps. I often find myself simultaneously grieving and grateful...
Deepak Pathak
I am happy that I was a student at MITM. we studied & had a lot of fun in our college days..
Amit Makhijani
My four years of engineering at Medicaps University have been outstanding and a memory to treasure f...
Romesh Jadia
There is no elevator to success, you have to take the stairs" but it's important which is the right ...
Alok Vijayvergiya
Ankur Lahoti
Admissions
Admissions
Scholarship
MU-SAT/MLAT
Fee Refund Policy
Faq's
Students will work on projects involving data analysis, machine learning models, predictive analytics, big data management, and visualization.
The course covers tools like Python, R, Hadoop, SQL, Tableau, and TensorFlow, which are widely used in the data science industry.
Graduates can pursue careers as Data Scientists, Data Analysts, Business Intelligence Analysts, and Machine Learning Engineers in sectors such as finance, healthcare, and e-commerce.
Yes, the program includes lab sessions, internships, and industry collaborations to provide practical experience in data science.
Data Science is rapidly growing, with increasing demand for professionals who can analyze large datasets and provide actionable insights across industries.
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