Overview
The B tech CSE in Data Science with academic support of IBM empowers students with all the skills necessary to acquire and manage the data to conduct data-driven investigations and sophisticated analysis. This programmes trains the students with the skills that are required to analyze and predict solutions in various fields of development.
International Business Machines (IBM) is one of the leaders in Artificial Intelligence solution providers around the globe and has been changing the architecture of the AI world since its inception
Eligibility Criteria
Candidates should have passed 10+2 or its equivalent examination from a recognized Board with a minimum of 50% marks in aggregate.
Programme Details
Programme Highlights
-
Specifically designed curriculum in consultation with industry insiders and experts
-
Consistent mentoring by acclaimed academicians and top industry experts
-
Working at IBM Big Data Analytics Lab for real-world exposure to industry-relevant case studies
-
Learn and Grow with IBM Experts from Day One
-
Globally Valid Digital Certifications by IBM
-
Futuristic Engineering Kitchen and Research Units
-
Highly sophisticated laboratories equipped with cutting-edge tech apparatus
Who should Pursue
Students who have a strong aptitude for mathematics and statistics and want to apply their knowledge to solve complex problems using data-driven approaches, and are interested in working with large and complex datasets while simultaneously developing their insight into data should pursue B.Tech CSE with specialization in Data Science.
Financial Assistance
K.R. Mangalam University partnered with the leading banks to help you to finance your dream course through Education Loan. You only have to start repaying one year after finishing your course or six months after you get a job.
Benefits:
-
Quick and Instant
-
Includes tuition fees, books cost, hostel fees, airfare.
-
Concessional rate of interest.
-
Speedy disposal of loan applications
-
Availability of the loan across the country
-
Up to 100% loan with lower interest rate and zero processing fees
-
Repayment tenure ranging from 5-15 years.
Career Options
The demand for data science professionals is growing, and there are many job opportunities available for B Tech CSE in Data Science graduates in the industry such as finance, manufacturing, healthcare, retail, and technology that can offer you job security. After completing B.Tech. CSE with specialisation in Data Science students can grab the chance to work in well-respected companies like:
-
Supply Chain
-
Computer Science
-
Advanced Analytics
-
Artificial Intelligence
-
Network Analysis
-
Machine Learning
-
Management Consulting
-
Predictive Modeling
Placements
K.R. Mangalam University has tie-ups with multinational companies that recruit students every year. The top recruiters that hire students of KRMU are Amazon, Flipkart, Cognizant, Wipro, IBM, Infosys Deloitte, Walmart, Genpact, Accenture, Microsoft, and Reliance.
Faq
Yes, K.R. Mangalam University extends promising financial assistance in partnership with the major banks and firms including GrayQuest, ICICI Bank, IDFC FIRST Bank and Axis Bank.
Some of the top recruiters offering leading roles to B.Tech CSE in Data Science graduates are Deloitte, Walmart, Genpact, Accenture, Microsoft, and Reliance among others.
Yes, the students inclined to pursue the B.Tech CSE in Data Science programme, may be eligible for the scholarship in accordance with the terms and conditions.
The students seeking admission to B.Tech CSE in Data Science are required to fill out the Online Application Form and take the KREE Entrance Assessment Test. Upon successful clearance, the shortlisted students have to attend the Faculty-Led Interview for confirmed successful enrolment.
Some of the key study areas covered in the B.Tech CSE in Data Science curriculum include hands-on experience through practicums, lab work, and solving real-world problems. It also introduces students to the fundamentals of applied statistics, applied mathematics, and computer science that are necessary in the context of data science and its applications.