B.Tech CSE in
Data Science
Other Specialization:
Overview
The B.Tech in Computer Science & Engineering (Data Science) at Career Point University, Kota, is a future-oriented undergraduate program designed to equip students with the skills required to analyze, interpret, and transform data into actionable insights. The program builds a strong foundation in core computer science concepts such as programming, data structures, algorithms, databases, and operating systems, while integrating specialized knowledge in data science, statistics, machine learning, and artificial intelligence.
This program emphasizes hands-on learning and practical exposure through advanced laboratories, live projects, case studies, and internships. Students gain expertise in data analytics, big data technologies, data visualization, predictive modeling, and tools such as Python, R, SQL, and industry-standard analytics platforms. The curriculum is aligned with current industry requirements, ensuring students develop problem-solving abilities and data-driven decision-making skills.
Graduates of the B.Tech CSE in Data Science program are prepared for diverse career opportunities in IT, finance, healthcare, e-commerce, research, and analytics-driven organizations. The program also provides a strong pathway for higher studies, research, entrepreneurship, and professional certifications in data science, AI, and emerging technologies, making it an ideal choice for students aspiring to thrive in the data-driven digital era.
Scope of B.Tech in Data Science
The B.Tech in Computer Science & Engineering (Data Science) at Career Point University, Kota, offers vast scope and excellent career prospects in today’s data-driven world. With organizations across industries increasingly relying on data analytics, artificial intelligence, and machine learning to drive decision-making, the demand for skilled data science professionals is rapidly growing. Graduates of this program can explore opportunities in data analytics, machine learning, business intelligence, big data engineering, and AI-driven roles across sectors such as IT, finance, healthcare, e-commerce, manufacturing, and research organizations. The program also opens pathways for higher studies, research, entrepreneurship, and global certifications, ensuring long-term career growth and adaptability in emerging technologies.
Department
at a Glance
- Reputation
- Experienced Faculty
- Cutting-Edge Curriculum
- State-of-the-Art Facilities
- Industry Partnerships
- Career Support
- Diverse Learning
- Student-Centric Approach
Exclusive
Labs
- Artificial Intelligence & Machine Language Lab
- Internet of Things lab
- Full Stack Development
- Cloud Computing Lab
- Android Development Lab
- Open Source Technologies Lab
Your Department in a Nutshell
- Achievements
- Patents
- Research
- Expert Sessions
- Activities
- Labs
Admission Criteria
- Through Eligibility & Scholarship Test (CPU-EST). For details, Click Here
- Rolling Admission: We follow rolling admission process. To apply Click Here
Fee Details
Course Fee | |
|---|---|
Admission Fee (one time) | 5000/- (at the time of admission) |
Tuition Fee | 74000/- Per Semester |
Examination Fee | 3000/- Per Semester |
Development Fee | 3000/- Per Semester |
Caution Money (one time) | 3000/- (Refundable) |
Scholarship Criteria
Scholarship For Session 2026-27
| Till 30th June | Till 15th July | Till 31st July | After 31st July | |
|---|---|---|---|---|
| Early Admission Benefit (One Time) [INR] | 5000 | 3000 | 2000 | No EAB |
Merit Scholarship
| % in 12th Board (PCM) | Scholarship on Tuition Fees | |||
|---|---|---|---|---|
| Till 30th June | Till 15th July | Till 31st July | After 31st July | |
| Above 95% | 50% | 45% | 40% | NA |
| 90% – 94.99% | 40% | 35% | 30% | NA |
| 85% – 89.99% | 30% | 25% | 20% | NA |
| 80% – 84.99% | 20% | 15% | 10% | NA |
| 70% – 79.99% | 15% | 10% | 5% | NA |
| 60% – 69.99% | 10% | 5% | NA | NA |
| %tile in JEE Main | Scholarship on Tuition Fees | |||
|---|---|---|---|---|
| Till 30th June | Till 15th July | Till 31st July | After 31st July | |
| Above 98.0 | 60% | 60% | 50% | 40% |
| 95.0 – 98.0 | 50% | 50% | 40% | 30% |
| 90 – 94.99 | 40% | 30% | 20% | 10% |
| 85 – 89.99 | 30% | 20% | 10% | NA |
| 80 – 84.99 | 20% | 10% | 5% | NA |
For CPU Students ( Graduation Year 2025 or 2026)
| Scholarship in Tuition Fee | ||||
|---|---|---|---|---|
| Till 31st July | After 31st July | |||
| CPU Student (Graduating in 2025 or 2026) | 1. Waiver in Admisoin Fee Rs 5000/- 2. Scholarship 10% in Tution fee OR merit scholarship as above whichiever is higher | NA | ||
Note:
- 1. Merit scholarship is linked with admission date (irrespective of date of result declaration of previous class)
- 2. Student can avail only one type of merit scholarship scholarship (whichever is higher).
- 3. Merit Schiolarship Continuation eligibility: Above merit scholarship is only for 1st Year. For continuation of the same in subsequent year, student has to maintain CGPA >= 6.5
- 4. EAB Scholarship is given in addion to the merit scholarship.
- 5. To avail scholarship, student must deposit applicable semester fee before the cut-off date for scholarship. If student fail to do so, his/her eligibiity for availing scholarship will be cancelled.
- 6. Also, to avail merit scholarship, student has to submit supporting documents in original along with 1 set of photocopies.
Why Join B.Tech in Data Science?
Joining B.Tech in Computer Science & Engineering (Data Science) offers students the opportunity to gain end-to-end expertise in collecting, analyzing, and interpreting large volumes of data, enabling the development of data-driven solutions and intelligent systems that support informed decision-making across industries.
- Specialized Focus: B.Tech CSE with a specialization in Data Science provides focused training in data analytics, statistics, machine learning, artificial intelligence, and big data technologies, aligned with the growing demand for data-driven professionals.
- In-Demand Skills: The program equips students with highly sought-after skills such as data modeling, predictive analytics, machine learning algorithms, data visualization, and statistical analysis, along with proficiency in tools like Python, R, SQL, and analytics platforms.
- Career Opportunities: Graduates can pursue diverse career paths in IT companies, analytics firms, startups, research organizations, and multinational corporations, with roles such as Data Scientist, Data Analyst, Machine Learning Engineer, Business Intelligence Analyst, and AI Specialist, as well as opportunities for data-driven entrepreneurship.
- Hands-On Experience: The curriculum emphasizes practical, hands-on learning through real-world datasets, live projects, case studies, and internships, allowing students to apply theoretical concepts to solve complex business and technological problems.
What makes Department
of B.Tech in Data Science unique?
The Department of B.Tech in Computer Science & Engineering (Data Science) stands out for its industry-aligned and future-ready curriculum designed to equip students with the skills and knowledge required to excel in the rapidly growing field of data analytics, artificial intelligence, and machine learning. The program places strong emphasis on hands-on, practical learning through advanced data science labs, industry collaborations, internships, and real-world projects, ensuring students gain exposure to collecting, analyzing, and interpreting large datasets to derive meaningful insights. The department fosters a culture of innovation, critical thinking, and data-driven problem-solving, encouraging students to build intelligent models and analytics solutions that address real business and societal challenges. By nurturing strong technical expertise along with analytical thinking and adaptability, the department prepares graduates to become skilled data scientists, analysts, innovators, and future technology leaders.
Placements
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Package: 6 LPA
Package: 9 LPA
How to Apply
Steps to Follow
Frequently Asked Questions
B.Tech in Data Science at Career Point University
B.Tech in Computer Science & Engineering (Data Science) is a 4-year undergraduate program that focuses on data collection, processing, analysis, and interpretation, preparing students to solve real-world problems using advanced data-driven methods.
The program is 4 years long, divided into 8 semesters, combining core computer science subjects with data science specialization modules and practical training.
Completion of 10+2 with Physics, Chemistry, and Mathematics from a recognized board.
Minimum qualifying marks as per the university’s admission requirements.
Strong analytical and mathematical aptitude is preferred.
Key areas of study include:
Programming (Python, Java, etc.)
Data Structures & Algorithms
Statistics & Probability
Database Management Systems
Data Mining & Big Data Analytics
Machine Learning & AI Techniques
Data Visualization & Business Intelligence
Yes. The curriculum includes hands-on labs, data science platforms, live projects, internships, and case studies to provide real-world experience in solving data-centric challenges.