B.Tech CSE – Data Science In Collaboration with NIAT
Start Your Tech Career with the Best B Tech CSE Colleges in Tamil Nadu –
- Hands-on Training
- Faculty with International Experience
- Advanced Curriculum
- Upto 100% Scholarship based on merit
About the Course
The B.Tech CSE – Data Science programme at Takshashila University is designed to prepare students for the rapidly evolving world of data-driven technology.
The programme brings together core Computer Science concepts and specialised Data Science skills. Students learn programming, data structures, databases, algorithms, statistics, data visualisation, machine learning, artificial intelligence, and modern software engineering practices.
In collaboration with NIAT, the programme incorporates an industry-aligned learning approach that emphasises practical skills, project-based learning, technology exposure, and continuous development of industry-relevant capabilities. NIAT’s current skill framework includes areas such as programming, databases, algorithms, data visualisation, Python libraries, probability and statistics, Data Science fundamentals, product analytics, and Machine Learning mathematics.
Students progressively move from foundational programming and computer science concepts to advanced Data Science, AI, Machine Learning, and real-world application development.
Why Choose B.Tech Computer Science and Engineering at Takshashila University?
Data is at the centre of modern technology and business decision-making. Organisations across finance, healthcare, retail, manufacturing, technology, education, logistics, and other sectors increasingly depend on data analytics and intelligent systems.
The B.Tech CSE – Data Science programme provides students with a combination of university-level academic learning and industry-oriented technical skill development.
Industry-Focused Curriculum
Learn technologies and concepts that are relevant to today's software, analytics, AI, and Data Science ecosystem. NIAT's industry-ready curriculum is designed to evolve with changing technology requirements.
Hands-on Learning
Go beyond classroom theory by working on practical programming, Data Science, AI, analytics, and software development projects.
Expert Faculty & Mentorship
Develop core knowledge in programming, data structures, algorithms, databases, operating systems, computer networks, software engineering, and other essential areas of Computer Science.
Placement & Career Support
Develop technical skills, communication abilities, analytical thinking, problem-solving skills, and project experience to prepare for technology careers.
Career Scope
Graduates of the B.Tech in Computer Science and Engineering – Data Science programme are prepared for diverse career opportunities across the technology, data, analytics, artificial intelligence, and software industries. The programme develops strong foundations in Computer Science along with practical skills in Data Science, Artificial Intelligence, Machine Learning, data analytics, and software development.
Software Engineer
- Role: Develop and maintain software applications for businesses and organisations.
- Salary: ₹6,00,000 to ₹12,00,000 per annum.
Systems Architect
- Role: Design and develop large-scale software systems, ensuring scalability, performance, and reliability.
- Salary: ₹8,00,000 to ₹14,00,000 per annum.
Network Engineer
- Role: Manage and optimise enterprise networks, ensuring secure and efficient communication.
- Salary: ₹5,00,000 to ₹10,00,000 per annum.
Database Administrator
- Role: Manage and optimise databases, ensuring data integrity, availability, and security.
- Salary: ₹6,00,000 to ₹11,00,000 per annum.
Cybersecurity Specialist
- Role: Protect computer systems and networks from cyber threats, vulnerabilities, and attacks.
- Salary: ₹7,00,000 to ₹15,00,000 per annum.
Why TAKSHASHILA?
Industry-Focused Curriculum
The B.Tech programme is designed to provide students with up-to-date knowledge of the latest trends and technologies in computer science and engineering, including AI, cloud computing, and cybersecurity.
Hands-On Learning
With state-of-the-art labs, practical projects, and industry internships, you will gain real-world experience in software development, networking, and system design.
Expert Faculty
Learn from experienced professionals with both academic and industry backgrounds, who will provide guidance and mentorship throughout your studies.
Global Career Opportunities
Takshashila University’s connections with global technology companies and research organisations ensure that you will have access to career opportunities both in India and abroad.
- Applicants must have completed their 10+2 or equivalent in Science with a minimum of 50% marks, including subjects like Physics, Chemistry, and Mathematics.
- Entrance exams or personal interviews may be required as part of the selection process.
For All Programmes except MBA, MCA, M.Tech, and Integrated Programmes offered by Sunstone, FacePrep, Kalvium and NxtWave
S.No | % of Marks | Scholarship Amount in Tuition Fees per year |
1 | 60% – 75% | 10% |
2 | Above 75 % – 90 % | 25 % |
3 | Above 90 % | 50 % |
Calculation of percentage of Marks (+2 of HSC / 2nd Year of APBIM or +2 of CBSE or Equivalent)
- Engineering – Average marks in Mathematics, Physics, Chemistry/Computer Science
- Lateral Entry – Average marks in Diploma Programme.
- Agriculture – Average marks in Physics, Chemistry, Biology / Botany &Zoology
- AHS / BPT / Pharmacy – Average marks in Physics, Chemistry, Biology / Botany &Zoology/Bio Tech
- UG – Arts & Science / Hotel Management – Overall +2 marks – (+2 of HSC / 2nd Year of APBIM or +2 of CBSE or Equivalent)
- PG – Overall % in UG
- Diploma – Average mark in 10th /Equivalent
MBA, MCA, M. Tech, and Integrated Programmes offered by Sunstone, FacePrep, Kalvium and NxtWave – No Academic Scholarship applicable.
Student Experience at Takshashila University
At Takshashila University, you will experience a world-class education in artificial intelligence and machine learning. Our hands-on learning environment, industry collaborations, and exposure to cutting-edge technologies ensure that you are well-prepared for the future.
What you can look forward to
Interactive Learning
Engage in practical sessions, workshops, and industry-linked projects, allowing you to apply theoretical knowledge in real-world scenarios.
Modern Campus Facilities
Experience state-of-the-art labs, research centres, and classrooms equipped with the latest technologies, all designed to enhance your hands-on learning experience.
Networking Opportunities
Connect with a diverse student body and industry professionals through guest lectures, industry events, and seminars. These interactions open doors to future collaborations and career prospects.
Active Student Life
Participate in clubs, hackathons, technical competitions, and industry events that encourage leadership, teamwork, and innovation, providing you with a well-rounded university experience.
Spread over 150 acres
At Takshashila University, you will have ample opportunities to hone your skills in real-world healthcare settings, utilising state-of-the-art medical facilities and simulation labs on our 150-acre campus.
Ready to Build Your Career at One of the Best B Tech Colleges in Tamil Nadu?
Frequently Asked Questions (FAQs) – B.Tech CSE – Data Science in Collaboration with NIAT
1. What is B.Tech CSE – Data Science in collaboration with NIAT?
B.Tech CSE – Data Science is an undergraduate Computer Science and Engineering programme offered by Takshashila University in collaboration with NIAT. The programme combines core Computer Science education with specialised learning in Data Science, Artificial Intelligence, Machine Learning, data analytics, and software development.
2. What will I learn in B.Tech CSE – Data Science?
Students develop skills in programming, data structures, algorithms, databases, Python, statistics, data analytics, data visualisation, Machine Learning, Artificial Intelligence, software development, and other emerging technologies.
3. What is the role of NIAT in this programme?
The collaboration with NIAT adds an industry-oriented learning approach with practical skill development, project-based learning, technology exposure, and real-world problem-solving alongside the University’s academic curriculum.
4. Is Artificial Intelligence and Machine Learning included in the programme?
Yes. Students are introduced to Artificial Intelligence and Machine Learning concepts as part of the Data Science learning pathway, along with the mathematical, statistical, and programming foundations required to work with intelligent systems.
5. Does the programme include practical and project-based learning?
Yes. Students gain practical experience through programming exercises, Data Science projects, analytics activities, software development, and industry-oriented projects designed to apply classroom concepts to real-world problems.
6. What are the career opportunities after B.Tech CSE – Data Science?
Graduates can explore roles such as Data Scientist, Data Analyst, Machine Learning Engineer, AI Engineer, Data Engineer, Business Intelligence Analyst, Product Analyst, Software Engineer, Python Developer, and Data Analytics Consultant.
7. What industries can Data Science graduates work in?
Graduates can pursue opportunities across IT and software, banking and finance, healthcare, e-commerce, manufacturing, retail, logistics, education, FinTech, consulting, and technology product companies.
8. Is programming knowledge required for Data Science?
Programming is an important part of Data Science. The programme develops programming skills progressively, helping students build a strong foundation before moving into advanced Data Science, Machine Learning, and AI concepts.
9. What programming languages and technologies can students learn?
Students can develop skills in technologies such as Python, SQL, databases, data visualisation tools, Machine Learning frameworks, software development tools, and other technologies relevant to Data Science and Artificial Intelligence.
10. Are internships and industry exposure part of the programme?
The programme is designed with an industry-oriented learning approach that includes practical projects, technical activities, industry interaction, and opportunities to develop hands-on experience relevant to technology careers.
