GL Bajaj B.Tech Data Science FAQs
Ques. What roles can data science graduates target?
Ans. Graduates pursue roles as data analysts, data scientists, machine learning engineers, and business intelligence specialists across technology and analytics firms. The curriculum builds Python, statistics, and big-data skills, while capstone projects give hands-on experience with real datasets valued by employers. Strong analytical thinking combined with internships and a project portfolio helps students move into specialised data roles after graduation.
Ques. What is the total course fee?
Ans. The total tuition for the four-year programme is INR 4,21,800, billed at INR 1,05,450 per year under the standard AKTU fee. Hostel and mess charges are separate and optional for day scholars. UP domicile candidates may claim state fee reimbursement subject to family income limits, which can reduce the overall cost of the degree significantly.
Ques. Which exam is accepted for admission?
Ans. Admission is through a valid JEE Main score and subsequent UPTAC counselling conducted by the state. Students register online, lock branch and college choices, and receive seats by merit rank. After allotment, candidates report to GL Bajaj for document verification and fee payment to confirm the seat before the academic session begins.
Ques. How is data science different from plain CSE here?
Ans. Data Science adds focused coursework in statistics, big-data tools, and visualisation on top of core programming. It suits students who enjoy working with data and analytics rather than only systems or software development. While CSE is broader, this branch goes deeper into modelling, data pipelines, and decision support, preparing students specifically for analytics-oriented careers. Students still cover core programming and software fundamentals, so they keep the flexibility to move into general software roles if they prefer that path later. This balance of breadth and depth makes the degree versatile for both specialised analytics jobs and broader engineering careers across sectors.
Ques. Does the campus location help with placements?
Ans. Yes. Greater Noida sits within the NCR technology belt near Noida and Delhi, giving access to analytics internships and recruitment drives. Recruiters such as TCS, Cognizant, and Capgemini visit the campus regularly. The highest package reached INR 57 LPA and the average was near INR 4.50 LPA, with proximity to corporate offices aiding off-campus opportunities too.
Ques. What skills should data science students build early?
Ans. Students should strengthen Python programming, statistics, SQL, and data visualisation from the first year. Working on small analytics projects, participating in data competitions, and completing internships build practical confidence. The institute provides labs, mentorship, and project guidance, so consistent early practice in these areas makes the advanced machine-learning subjects far easier to master. Familiarity with cloud platforms and dashboards also adds value when applying for analytics internships and entry-level data roles. Reading case studies on how companies use data to solve real problems helps students connect classroom concepts to industry practice and prepares them for technical interviews and group discussions.







Comments