JK Lakshmipat University (JKLU)

JK Lakshmipat University (JKLU)

Jaipur, Rajasthan
|
4.6 Ratings
|
Private|Estd. 2011|NAAC Grade A

Written By Aliya Khan

Updated on – 22 Dec, 2025

B.Tech in Computer Science and Engineering (Data Science) – Overview

The Bachelor of Technology in Computer Science and Engineering (Data Science) is a four-year undergraduate programme designed to build a strong foundation in computer science while integrating specialized learning in data science, analytics, machine learning, and big data technologies. The course prepares students for careers in data-driven industries, analytics, and software engineering by combining rigorous theory with hands-on experience in real-world applications.

The curriculum balances computing fundamentals with domain knowledge in statistics, data mining, predictive modeling, and data visualization, enabling graduates to extract actionable insights from complex datasets.


Programme Highlights

  • Combines core computing with practical data science applications

  • Emphasis on programming, analytics, and data interpretation

  • Industry-aligned curriculum with labs and project work

  • Training in modern tools and technologies used in data science

  • Internship and placement support through the Career Development Cell


Eligibility & Entrance Exam

CriteriaDetails
QualificationPass in Class 12 from a recognised board
Mandatory SubjectsPhysics, Mathematics, Chemistry, English
Entrance Exams AcceptedJEE Main / CUET-UG
Admission BasisMerit and entrance selection as per university norms

Admission & Selection Process

StepProcess
1Fill and submit the online application form
2Provide entrance exam scores (JEE Main or CUET-UG)
3Merit evaluation based on qualifying results and exam score
4Offer of admission issued to eligible candidates
5Confirm admission by paying requisite fees

Admission is based on merit and accepted exam scores as per JKLU guidelines.


Academic Fee Structure

ProgrammeDurationAcademic Fee per Year
B.Tech CSE (Data Science)4 YearsINR 2,84,000

Hostel, mess, and other charges are applicable separately.


Curriculum Overview

The curriculum unfolds across eight semesters and blends core computer science with specialized data science courses.

Core Study Areas

  • Programming Fundamentals

  • Data Structures and Algorithms

  • Database Management Systems

  • Computer Networks

  • Software Engineering

  • Probability and Statistics

  • Data Mining and Machine Learning

  • Big Data Technologies

  • Predictive Modeling

  • Data Visualization

  • Capstone Project and Industry Internship

These components ensure a balance between computational skills and data interpretation expertise.


Career Scope

Graduates of B.Tech CSE (Data Science) have diverse career opportunities in the rapidly growing field of data and analytics.

Possible Career Roles Include:

  • Data Scientist

  • Data Analyst

  • Business Intelligence Developer

  • Machine Learning Engineer

  • Data Engineer

  • Analytics Consultant

  • Database Specialist

  • Research Associate

This field is relevant across sectors such as finance, healthcare, e-commerce, telecommunications, consulting, and more.


Placements & Internship Support

JKLU’s Placement and Career Development Cell supports students by facilitating internships, industry projects, and placement opportunities. The cell offers training, resume preparation, interview practice, and corporate engagement to maximise employability.

Graduates benefit from the university’s network of recruiters and structured placement efforts.


Why Choose This Programme

  • Strong combination of computing and data science expertise

  • Hands-on learning with real data and project assignments

  • Exposure to modern analytics tools and frameworks

  • Career-oriented modules aligned with industry expectations

  • Dedicated placement and career support structure


Programme Summary

The B.Tech in Computer Science and Engineering (Data Science) at JK Lakshmipat University is a forward-looking undergraduate programme designed to meet the growing demand for data professionals. Through a blend of core computer science and specialized data science training, students are prepared to excel in data-centric roles across industries and pursue advanced academic or research paths.

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