In collaboration with Google
In collaboration with Google
B.Tech CSE Data Science
The four-year B.Tech program in Computer Science and Engineering with a specialization in Data Science, offered in collaboration with Google, combines a strong foundation in computer science with the methods and tools used to turn data into meaningful insights. With Google-aligned learning content, case studies and industry-relevant practices, the program brings the data science workflow into the classroom from collecting and cleaning data to statistical analysis, predictive modelling, visualization, and communicating findings for informed decision-making. In addition to the core CSE subjects, students will develop competencies in python for data analytics, SQL, statistics, machine learning, and data manipulation through hands-on experience using actual datasets, laboratory exercises, project-based learning, hackathons, and capstone projects. Aligned with this, the use of Google technology and data platforms also provide an opportunity for students to learn academically with practical applications, thus building a strong technical and analytic base to pursue careers in data-driven roles.
As organizations across sectors increasingly rely on data to guide business and operational decisions, the demand for professionals to interpret, manage and apply data continues to grow. The global data science platform market is anticipated to reach nearly USD 760 billion by 2030, reflecting the growing importance of analytics and data-driven decision-making. The program prepares graduates for opportunities across IT services, banking, healthcare, consulting, product companies’ analytics firms, etc., as well as the ability to develop career growth through industry certifications, internships and relevant experience with real-world data.
The program includes industry-recognized certification pathways designed to strengthen skills in cloud computing, data analytics and related areas. These include the Google Cloud Computing Foundations Certificate and Google Data Analytics Certificate, along with relevant Google learning pathways in advanced analytics and cloud-based data applications. Such credentials complement the degree by providing additional evidence of practical knowledge in data and analytics.
The course curriculum has been structured in such a way that the fundamentals of computer science and analytics have been covered as per industry demands.
The students will get hands-on training on labs, real datasets, projects, hackathons, and capstones, enabling them to use data for solving business problems.
Prepares students with industry certificates, internships and connections, builds students into high-demand positions across industries specializing in analytics, data engineering and AI.
Gain proficiency in AI fundamentals and domain-specific advanced modules while engaging in multidisciplinary education across disciplines of engineering, management, sciences, law, tourism and humanities, preparing for an AI-driven workforce.
Get expert AI guidance from top professionals at leading tech companies like Google, Microsoft, IBM, TCS and more, empowering you with the skills and knowledge to excel in the tech-driven future.
Leverage advanced technologies at industry-collaborated Centres of Excellence to undertake groundbreaking research projects in diverse domains, like blockchain, cryptography, neurotechnology, genetic engineering, and more.
Ignite your entrepreneurial spirit with our tech-powered incubation ecosystem and makerspace, where creativity and collaboration turn ideas into successful ventures.
Tap into an extensive network of 1300+ recruiters and land your dream job with the world's leading companies like Microsoft, Google, Amazon, Walmart, Intel, Flipkart, IBM, Wipro, PwC, EY, Deloitte, ITC, Reliance Industries, Bank of America, Taj Hotels, Cipla, among others.
Gain proficiency in AI fundamentals and domain-specific advanced modules while engaging in multidisciplinary education across disciplines of engineering, management, sciences, law, tourism and humanities, preparing for an AI-driven workforce.
Get expert AI guidance from top professionals at leading tech companies like Google, Microsoft, IBM, TCS and more, empowering you with the skills and knowledge to excel in the tech-driven future.
Leverage advanced technologies at industry-collaborated Centres of Excellence to undertake groundbreaking research projects in diverse domains, like blockchain, cryptography, neurotechnology, genetic engineering, and more.
Ignite your entrepreneurial spirit with our tech-powered incubation ecosystem and makerspace, where creativity and collaboration turn ideas into successful ventures.
Tap into an extensive network of 1300+ recruiters and land your dream job with the world's leading companies like Microsoft, Google, Amazon, Walmart, Intel, Flipkart, IBM, Wipro, PwC, EY, Deloitte, ITC, Reliance Industries, Bank of America, Taj Hotels, Cipla, among others.
Gain proficiency in AI fundamentals and domain-specific advanced modules while engaging in multidisciplinary education across disciplines of engineering, management, sciences, law, tourism and humanities, preparing for an AI-driven workforce.
Get expert AI guidance from top professionals at leading tech companies like Google, Microsoft, IBM, TCS and more, empowering you with the skills and knowledge to excel in the tech-driven future.
Leverage advanced technologies at industry-collaborated Centres of Excellence to undertake groundbreaking research projects in diverse domains, like blockchain, cryptography, neurotechnology, genetic engineering, and more.
Ignite your entrepreneurial spirit with our tech-powered incubation ecosystem and makerspace, where creativity and collaboration turn ideas into successful ventures.
Tap into an extensive network of 1300+ recruiters and land your dream job with the world's leading companies like Microsoft, Google, Amazon, Walmart, Intel, Flipkart, IBM, Wipro, PwC, EY, Deloitte, ITC, Reliance Industries, Bank of America, Taj Hotels, Cipla, among others.
Companies named as top recruiters for this programme.
Engineering has always been about turning an idea into something that works. That could be a bridge, a machine, an electronic system, a manufacturing process, or a technology that solves an everyday problem.
At the School of Engineering, our focus is to give students the opportunity to experience this process themselves. We want students to spend time in laboratories, work on projects, understand how things work, interact with industry, and learn from practical experience—not just prepare for examinations.
I also believe that an engineering degree should help students become independent thinkers. There will be problems for which there is no ready-made answer. Learning how to approach such problems with patience, creativity, and confidence is an important part of becoming an engineer.
Our faculty will work closely with students to develop their technical abilities while also encouraging teamwork, communication and professional responsibility. My message to our students is simple: stay curious, keep experimenting, and never be afraid to ask why.
Engineering has always been about turning an idea into something that works. That could be a bridge, a machine, an electronic system, a manufacturing process, or a technology that solves an everyday problem.
At the School of Engineering, our focus is to give students the opportunity to experience this process themselves. We want students to spend time in laboratories, work on projects, understand how things work, interact with industry, and learn from practical experience—not just prepare for examinations.
I also believe that an engineering degree should help students become independent thinkers. There will be problems for which there is no ready-made answer. Learning how to approach such problems with patience, creativity, and confidence is an important part of becoming an engineer.
Our faculty will work closely with students to develop their technical abilities while also encouraging teamwork, communication and professional responsibility. My message to our students is simple: stay curious, keep experimenting, and never be afraid to ask why.
| Course | L | T | P | C | CH |
|---|---|---|---|---|---|
| Engineering Mathematics | 3 | 1 | 0 | 4 | 4 |
| Programming for Problem Solving | 2 | 0 | 2 | 4 | 6 |
| Physics for Computational Technologies | 3 | 0 | 1 | 4 | 5 |
| Basic Electrical and Electronics Engineering | 3 | 0 | 1 | 4 | 5 |
| Foundation and Application of AI | 2 | 0 | 0 | 2 | 2 |
| Professional Communication and Story Telling | 2 | 0 | 1 | 3 | 4 |
| Data Science Fundamentals | 1 | 0 | 1 | 2 | 3 |
| Total | 16 | 1 | 6 | 23 | 29 |
L lecture · T tutorial · P practical · C credits · CH contact hours
| Course | L | T | P | C | CH |
|---|---|---|---|---|---|
| Linear Algebra and Vector Calculus | 3 | 1 | 0 | 4 | 4 |
| Object Oriented Programming using Java | 3 | 0 | 1 | 4 | 5 |
| Computer Ecosystem | 2 | 0 | 2 | 4 | 6 |
| Biology for Engineers | 3 | 0 | 0 | 3 | 3 |
| Design Thinking and IPR | 2 | 0 | 0 | 2 | 2 |
| Competitive Programming Lab | 0 | 0 | 2 | 2 | 4 |
| Universal Human Values | 2 | 0 | 0 | 2 | 2 |
| Soft Skill -1 | 0 | 0 | 1 | 1 | 2 |
| Total | 15 | 1 | 6 | 22 | 28 |
L lecture · T tutorial · P practical · C credits · CH contact hours
10+2 with Physics and Mathematics as compulsory subjects along with one of the following subjects: Chemistry / Biotechnology / Computer Science / Biology/Informatics Practice/Information Technology with at least 55% marks in the aggregate.
| Program Fee | Amount (per semester) | Duration |
|---|---|---|
| Semester Fee (For Indian Students) | 158000/- INR | 4 Years (8 Semesters) |
| SAARC Fee | — | |
| International Fee | — |
| Parameters | CUCET Scholarship Amount | Amount to pay after CUCET Scholarship |
|---|---|---|
| 90.01 – 100 | 158000 /- INR | NIL |
| 80 – 90 | 79000 /- INR | 79000 /- INR |
| 70 – 79.99 | 63200 /- INR | 94800 /- INR |
| 60 – 69.99 | 47400 /- INR | 110600 /- INR |
| 50 – 59.99 | 39500 /- INR | 118500 /- INR |
| 40 – 49.99 | 23700 /- INR | 134300 /- INR |
From choosing a direction to signing an offer, Chandigarh University’s career services work with you at every step of the job search.
Faculty mentors help you choose a direction, from your specialisation to the first role you aim for.
Support through every campus drive: eligibility, applications, assessments and offers.
Guest sessions and time with recruiters and practitioners, so you know what the work asks for.
Build, review and sharpen a resume and profile aimed at the roles you want.
Mock interviews and group discussions with feedback, before the real ones.
One-to-one conversations about your plans, your options and your next step.
Graduates can pursue high-demand roles such as:
Builds statistical and machine-learning models that predict outcomes and uncover patterns in large datasets, then puts them to work on real business problems.
Collects, cleans and analyses data to answer business questions, and presents the findings in reports and dashboards. Data analysts are hired in every sector that runs on numbers.
Designs, trains and deploys machine-learning models at scale, building the pipelines that take a model from experiment to production.
Designs and maintains the pipelines and warehouses that move data reliably from source systems to the analysts and models that use it.
Builds intelligent systems using machine learning, deep learning and language models, and integrates them into real products and services.
Helps clients use their data to make better decisions, from framing the business question to building the analysis and presenting the recommendation.
Milestones and projects across Chandigarh University, Uttar Pradesh — open to students of every school.
01 — 09 September 2026
CU Hostel League brought students together to showcase diverse talents, compete, perform, and cheer for one another, creating an energetic platform for confidence, creativity, camaraderie, and memorable experiences.
02 — 05 September 2026
The hands-on ESP32 and Sensor Interfacing session introduced students to microcontrollers, sensors, and real-time applications, encouraging interdisciplinary learning, experimentation, and practical problem-solving through technology-driven engineering activities.
03 — 8 May 2026
One blood donation can save lives. On World Red Cross Day, Chandigarh University Uttar Pradesh, with the Indian Red Cross Society, organized a Blood Donation Camp promoting humanity, compassion, service, and collective social responsibility.
04 — 7 March 2026
The Department of ECE, School of Engineering at Chandigarh University, Uttar Pradesh organised a session by Mr. Dhawal Dwivedi from GeeksforGeeks, introducing students to prompt engineering and the evolving role of AI agents.
Chandigarh University, Uttar Pradesh offers a two-year M.Tech program in Computer Science and Engineering with a specialization in Artificial Intelligence and Machine Learning, developed in collaboration with SAS, a globally established leader in analytics and enterprise AI. The program brings SAS’s industry-oriented analytics perspective into advanced study of machine learning, deep learning, optimization, applied statistics and research methodology, while retaining the flexibility of the Python-based AI ecosystem. This blend of enterprise analytics and advanced AI creates a strong foundation for specialized technical work, further strengthened by a dedicated research project or dissertation in the second year.
Chandigarh University, Uttar Pradesh, offers an M.Tech. in Computer Science and Engineering (Data Science) for postgraduate students seeking to advance their command of intelligent computing and analytical methods. The program explores artificial intelligence, machine learning and statistical modelling alongside big data analytics, data mining and predictive modelling, building the depth required to examine complex computational problems. Through research projects, advanced laboratory work and practical applications, students learn to develop and evaluate analytical models, interpret intricate datasets and derive insights with scientific rigour, preparing for specialized careers in data science, AI and advanced analytics.
Chandigarh University, Uttar Pradesh offers a four-year B.Tech. program in Civil Engineering that combines core engineering principles with programming, digital tools and computational methods. The curriculum covers structural engineering, fluid mechanics, geoinformatics and construction management, alongside sustainable building practices and smart city planning. Practical learning strengthens this foundation through advanced laboratories, live site visits, technical workshops, capstone projects, summer internships and industry-based training. Together, these experiences connect engineering theory with its application across real infrastructure and construction projects, while developing the technical and analytical understanding required to work across structural, transportation, construction, environmental and other allied areas of civil engineering.
The campus is located in Unnao, Uttar Pradesh.
You can reach us at 9646001333 or email us at admissions@culko.in.
Application deadlines vary by program. Please refer to the specific program page for detailed information.
Register for CUCET by providing your basic details — name, email, mobile number, state and gender.
You receive a confirmation on your registered number and email. Log in with those credentials and complete the eligibility and scholarship test application.
On clearing CUCET, submit your admission application. Merit-based scholarship is assessed automatically from your result.
