B.Tech in Artificial Intelligence & Data Science
- Hands-on Training
- Faculty with International Experience
- Advanced Curriculum
- Upto 100% Scholarship based on merit

About the Course
The B.Tech in Artificial Intelligence & Data Science at Takshashila University is designed to provide you with the skills and knowledge needed to excel in the rapidly growing fields of AI and data science. This programme focuses on the design, development, and implementation of AI systems and the ability to analyse and interpret large datasets. You will learn core concepts in machine learning, deep learning, data analytics, and big data technologies. The course is designed to prepare you for roles in AI, machine learning, data analysis, and data-driven decision-making. Through practical learning, hands-on projects, and industry exposure, you will gain the expertise to create intelligent systems and harness the power of data.
Course Curriculum

Year 1
The first year provides a solid foundation in computer science and mathematics, focusing on programming, data structures, and algorithms. You will also gain a basic understanding of computer systems and data management.
Key Subjects: Mathematics, Programming in C, Data Structures, Algorithms, Digital Logic Design, Introduction to Databases.
Year 2
The second year delves deeper into data science concepts, including data mining, statistics, and machine learning fundamentals. You will learn how to work with datasets, apply basic machine learning algorithms, and develop predictive models.
Key Subjects: Data Mining, Machine Learning, Statistics, Object-Oriented Programming, Database Management Systems, Probability.
Year 3
The third year focuses on advanced topics in AI and data science, including deep learning, natural language processing, and data visualisation. You will start working on projects and real-world problems, applying machine learning algorithms to large datasets.
Key Subjects: Deep Learning, Neural Networks, Natural Language Processing, Big Data Analytics, Data Visualisation, Internship and Project Work.
Year 4
The final year explores specialised topics such as reinforcement learning, robotics, and advanced data analytics. You will also complete a major project that allows you to apply your learning to solve real-world challenges in AI and data science.
Key Subjects: Reinforcement Learning, AI Ethics, Robotics, Advanced Data Analytics, Cloud Computing, Major Project and Dissertation.
Programme Outcomes (POEs)
Upon completing the B.Tech in Artificial Intelligence & Data Science, you will have acquired the following competencies:
AI and Machine Learning Expertise
You will develop a deep understanding of AI and machine learning algorithms, allowing you to design and implement AI-driven solutions.
Data Science and Analytics
You will gain the skills needed to collect, analyse, and interpret large datasets, applying statistical and machine learning methods to extract valuable insights.
Advanced Data Technologies
You will learn to work with big data technologies, cloud computing platforms, and data visualisation tools, enabling you to manage and analyse vast amounts of data efficiently.
Problem-Solving with AI Tools
You will be capable of solving complex problems in AI and data science, applying appropriate algorithms and data models for various business applications.
Ethical and Responsible AI Development
You will understand the ethical implications of AI systems and data analytics, ensuring that the solutions you create are fair, transparent, and accountable.
Leadership in AI and Data Science Projects
You will gain the ability to lead teams in developing AI systems and data-driven solutions, managing projects from inception to implementation.
Programme Outcomes (POs)
The B.Tech in Artificial Intelligence & Data Science will help you achieve the following broader learning outcomes:
PO1: Solid Foundation in Computer Science
You will develop a comprehensive understanding of the fundamental principles of computer science, including programming, data structures, and algorithms.
PO2: Expertise in Machine Learning and Data Science
You will gain advanced knowledge in machine learning algorithms, deep learning techniques, and data science methodologies to apply in real-world scenarios.
PO3: Data Interpretation and Analytical Skills
You will acquire the ability to interpret and analyse data using various statistical, computational, and machine learning methods, making data-driven decisions.
PO4: Effective Communication and Collaboration
You will develop the skills to communicate complex AI and data science concepts clearly and collaborate effectively with multidisciplinary teams.
PO5: Problem-Solving and Critical Thinking
You will refine your ability to think critically and solve complex problems using AI and data science tools, ensuring that your solutions meet industry standards.
PO6: Professional Development in AI and Data Science
You will be equipped to pursue professional growth in AI and data science, staying updated with industry trends and emerging technologies.
Programme Specific Outcomes (PSOs)
Through this programme, you will develop the following specific competencies:
PSO1: Proficiency in Machine Learning Algorithms
You will gain proficiency in supervised, unsupervised, and reinforcement learning algorithms, allowing you to develop intelligent systems for real-world applications.
PSO2: Advanced Knowledge in Data Analytics
You will develop expertise in data analytics, including data cleaning, preprocessing, and visualisation, to effectively work with large datasets.
PSO3: Deep Learning and Neural Networks
You will gain a deep understanding of deep learning techniques, such as neural networks, convolutional networks, and recurrent networks, for image recognition, NLP, and more.
PSO4: Big Data Technologies and Cloud Computing
You will acquire knowledge in big data platforms and cloud technologies, enabling you to manage and process vast datasets for analysis and predictive modelling.
PSO5: Robotics and AI Applications
You will explore the application of AI in robotics, using machine learning algorithms to enable machines to perform autonomous tasks in real-world environments.
PSO6: AI Ethics and Responsible Practices
You will understand the ethical concerns related to AI development and data science, ensuring responsible and transparent use of AI in all applications.
Career Scope
Graduates of the B.Tech in Artificial Intelligence & Data Science will be equipped to pursue a variety of roles in AI, machine learning, data science, and related fields. Some potential career opportunities include:
AI Engineer
- Role: Design and develop AI systems and applications to solve complex problems across industries.
- Salary: ₹7,00,000 to ₹14,00,000 per annum.
Data Scientist
- Role: Analyse large datasets, build predictive models, and generate actionable insights for organisations.
- Salary: ₹8,00,000 to ₹16,00,000 per annum.
Machine Learning Engineer
- Role: Develop and implement machine learning models and algorithms for various applications, such as image recognition and speech processing.
- Salary: ₹7,00,000 to ₹15,00,000 per annum.
AI Researcher
- Role: Conduct research in AI and machine learning, contributing to the development of new algorithms and techniques.
- Salary: ₹9,00,000 to ₹18,00,000 per annum.
Data Analyst
- Role: Collect, clean, and interpret data to help organisations make informed decisions.
- Salary: ₹5,00,000 to ₹10,00,000 per annum.
Why TAKSHASHILA?

Industry-Focused Curriculum
The B.Tech in Artificial Intelligence & Data Science is designed to meet the growing demand for AI and data science professionals, ensuring that you gain the skills needed to excel in these high-demand fields.
Hands-On Learning
With internships, projects, and lab sessions, you will gain practical experience in AI, machine learning, and data science, preparing you for real-world applications.
Expert Faculty
Learn from experienced professionals who bring both academic knowledge and industry expertise into the classroom.
Global Career Opportunities
Takshashila University’s strong industry network and global partnerships provide you with the opportunity to pursue a successful career in AI and data science.

- 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.

Takshashila University offers scholarships based on academic merit and financial need. Visit our scholarships page for more details on available scholarships and the application process.
Student Experience at Takshashila University
At Takshashila University, you will be part of a vibrant community where you will not only learn the theoretical concepts but also gain practical experience in AI and data science. The B.Tech programme is designed to provide a holistic learning experience that prepares you for the challenges of the real world.
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.
Start your journey in Artificial Intelligence and Data Science today!
Frequently Asked Questions (FAQs)
What is the duration of the B.Tech in Artificial Intelligence & Data Science?
The course lasts for 4 years, divided into eight semesters.
Do I need prior experience in AI or data science to apply?
No, the programme is designed for students with a background in science, specifically in Physics, Chemistry, and Mathematics.
What career support is provided after graduation?
Takshashila University provides job placements, internships, and networking opportunities to help you start your career in AI and data science.
Is the programme recognised internationally?
Yes, the B.Tech programme is designed to meet international standards, preparing you for global career opportunities in AI and data science.