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.

M.Sc. Artificial Intelligence and Data Science

About the Course

The Master of Science in Artificial Intelligence and Data Science at Takshashila University is a comprehensive two-year postgraduate program designed to equip students with advanced knowledge and skills in AI and data science. The curriculum encompasses a wide range of subjects, including Introduction to Artificial Intelligence, Programming in Python, Networking Methodologies, Design and Analysis of Algorithms, Knowledge Engineering, Data Warehousing and Data Mining, Digital Logic Design, and Cloud Computing Services. Graduates will be prepared for diverse career opportunities such as data scientist, research scientist, web designer, tech engineer, video game developer, AI analyst, business intelligence developer, and computer vision engineer.

Course Curriculum

Here’s a course curriculum breakdown for the M.Sc. Artificial Intelligence and Data Science at Takshashila University.

First Year:

Introduction to Artificial Intelligence
Programming in Python Language
Networking Methodologies
Design and Analysis of Algorithms
Knowledge Engineering
Data Warehousing and Data Mining
Digital Logic Design
Cloud Computing Services

Second Year:

Oral Communication
Engineering Design
Humanities Elective
Statics
Principles of Software Engineering
Structural Equation Modelling
Contemporary Issues in Multivariate Data/Statistical Analysis

Career Scope

A Master’s in Artificial Intelligence (AI) and Data Science opens a plethora of career opportunities. Graduates are equipped with the skills to analyse complex data, develop intelligent systems, and contribute to technological advancements across various industries. The demand for professionals in this field is surging, leading to lucrative job prospects and competitive salaries.

Data Scientist

Role: Data scientists analyse and interpret complex datasets to aid organisational decision-making. They develop predictive models and uncover insights that drive business strategies.
Skills Required: Proficiency in programming languages like Python or R, strong statistical and mathematical skills, and experience with machine learning algorithms.
Average Salary: Approximately ₹13.5 lakh per annum in India..

Machine Learning Engineer

Role: Machine Learning Engineers design, implement, and deploy machine learning models. They work closely with data scientists to bring theoretical models to production.
Skills Required: Expertise in machine learning frameworks like TensorFlow or PyTorch, programming skills in Java or Python, and a solid understanding of data structures and algorithms.
Average Salary: Around ₹12 lakh per annum in India.

Artificial Intelligence Engineer

Role: AI engineers develop and integrate AI algorithms into software applications, enabling machines to mimic human behaviour.
Skills Required: Knowledge of AI and deep learning frameworks, programming proficiency, and experience with neural networks.
Average Salary: Approximately ₹13 lakh per annum in India.

Data Engineer

Role: Data engineers build and maintain the architecture (such as databases and large-scale processing systems) that allows for the collection and analysis of data.
Skills Required: Experience with SQL, data warehousing solutions, and big data technologies like Hadoop and Spark.
Average Salary: Around ₹11 lakh per annum in India.
Top Employers: HP, Dell, Infosys.

Business Intelligence Analyst

Role: BI analysts utilise data to develop insights and business strategies. They create visualisations and reports to communicate findings to stakeholders.
Skills Required: Proficiency in BI tools like Tableau or Power BI, strong analytical skills, and an understanding of business operations.
Average Salary: Approximately ₹8 lakh per annum in India.

A Master’s in AI and Data Science not only provides access to a variety of high-paying roles but also positions professionals at the forefront of technological innovation. As industries increasingly rely on data-driven decision-making and intelligent systems, the expertise gained through this program becomes invaluable, paving the way for a dynamic and rewarding career path.

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What You Will Gain at Takshashila University

At Takshashila University, our Master’s in AI and Data Science program is well-planned to equip students with comprehensive software knowledge and practical skills, preparing them for all roles in various industries. Through a curriculum encompassing subjects like AI & machine learning, programming and software development, students develop a robust foundation with the latest technology principles.

Industry-Relevant Curriculum

Our course is designed in collaboration with industry experts to ensure you gain practical, job-ready skills. You’ll explore key domains such as machine learning, deep learning, neural networks, natural language processing, big data analytics, and cloud technologies, all with a strong foundation in core AI principles.

Hands-On Learning & Lab Exposure

Theory meets practice in our fully equipped labs. You’ll engage in real-world projects, simulations, and data-driven experiments that sharpen your coding, analytical, and problem-solving skills. Our hands-on approach ensures you’re ready to handle industry challenges from day one.

Expert Faculty & Mentorship

Our experienced faculty members bring a wealth of academic knowledge and industry experience. You’ll benefit from close mentorship, research guidance, and personalised support throughout your academic journey, helping you grow both technically and professionally.

Career-Driven Outcomes

Whether you aim to become a data scientist, AI analyst, machine learning engineer, or researcher, our program prepares you with the tools and confidence to succeed. Our strong industry connections and placement support give you a competitive edge in securing top roles.

Future-Ready Skill Development

Beyond technical knowledge, you’ll develop critical soft skills like communication, teamwork, leadership, and ethical reasoning. These are essential for thriving in multidisciplinary teams and adapting to the evolving tech landscape.

To apply for the Master’s in AI and Data Science program, candidates must meet the following criteria:

Academic Qualification: Candidates must have completed their 10+2 or equivalent from a recognised board.
Minimum Marks: A minimum of 50% marks is required in the qualifying examination.
Entrance Exam/Interview: In some cases, an entrance exam or personal interview may be required to assess your suitability for the course.

Please check the specific details for the current admissions cycle on the Admissions Page.

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.

Life at Takshashila University / Experience Beyond the Classroom at Takshashila University

At Takshashila University, life extends beyond academics, offering you a vibrant environment to grow personally and professionally. The campus is designed to encourage interaction, collaboration, and creativity, providing a platform to engage with peers, faculty, and industry experts.

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.

Ready to start your journey towards a career in Master’s in AI and Data Science?

Apply now for an M.Sc. at Takshashila University and take the first step towards your future.

Apply Now

Frequently Asked Questions (FAQs)

What is the eligibility for M.Sc. Artificial Intelligence and Data Science at Takshashila University?

Applicants must have completed a Bachelor’s degree in a relevant discipline with a minimum of 50% marks. Some candidates may need to appear for an entrance exam or personal interview.

What are the career opportunities after completing this M.Sc. in AI and Data Science?

Graduates can pursue high-demand roles such as data scientist, machine learning engineer, AI analyst, business intelligence developer, and research scientist across various industries.

Is there any hands-on training provided during the course?

Yes, students receive extensive hands-on training through real-world projects, coding labs, and data-driven simulations to prepare them for industry challenges.

Does Takshashila University offer placement support for AI and data science graduates?

Absolutely. Takshashila University provides robust placement assistance, industry internships, and career counselling to ensure students secure roles in top companies.

Are scholarships available for M.Sc. AI and Data Science students?

Yes, academic and sports scholarships are available based on merit and achievement. Students can receive concessions or financial support ranging from ₹10,000 to full tuition fee waivers.

Get more details about the Master’s in AI and Data Science program, including course content, faculty, and admissions process, by downloading our brochure.

M.Sc. Artificial Intelligence and Data Science

About the Course

Course Curriculum