Does Takshashila University offer programs in AI and Data Science?

Yes, Takshashila University offers industry-focused programs in Artificial Intelligence and Data Science with practical training.

Is AI more difficult to learn than Data Science?

AI is generally more complex as it requires deeper knowledge of algorithms, mathematics, and advanced programming concepts.

Which field has more demand, AI or Data Science?

Both AI and Data Science have strong global demand, with opportunities across multiple industries.

Which field offers better salary, AI or Data Science?

Both fields offer high salaries, though AI roles may have slightly higher pay due to specialized skills and complexity.

Which programs can I choose at Takshashila University for AI and Data Science?

Takshashila University offers specialized programs such as B.Tech in Artificial Intelligence and Data Science.

Should I learn Data Science or AI first?

It is recommended to start with Data Science as it builds a strong foundation in data handling, statistics, and programming before moving to AI.

Can a Data Scientist become an AI Engineer?

Yes, Data Scientists can transition to AI roles by learning advanced machine learning, deep learning, and system design.

Is Data Science required for a career in AI?

Data Science forms the foundation of AI, as it involves preparing and analyzing data that AI models rely on.

Does AI pay more than Data Science?

AI roles often offer slightly higher salaries due to specialized expertise, but experienced Data Scientists also earn competitive pay.

Will AI replace Data Scientists?

No, AI will not replace Data Scientists but will enhance their work by automating repetitive tasks and enabling better decision-making.

B.Tech in Artificial Intelligence & Data Science

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.

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

Data Scientist

Machine Learning Engineer

AI Researcher

Data Analyst

Industry Tie-ups

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Degree Programs

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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.

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 / 2^nd 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 / 2^nd Year of APBIM or +2 of CBSE or Equivalent)
PG – Overall % in UG
Diploma – Average mark in 10^th /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 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

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!

Apply now for the B.Tech in Artificial Intelligence & Data Science at Takshashila University.

Apply Now

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.

For more detailed information about the B.Tech in Artificial Intelligence & Data Science, including course content, faculty, and admission process, download our brochure.