M.Sc. Artificial Intelligence and Data Science
- Hands-on Training
- Faculty with International Experience
- Advanced Curriculum
- Upto 100% Scholarship based on merit
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
Programme Outcomes (POEs)
At Takshashila University, the M.Sc. Artificial Intelligence and Data Science program aims to produce highly skilled professionals who are equipped with technical expertise, critical thinking, and ethical values. The Programme Educational Objectives (PEOs) are as follows:
Strong Foundation in Core Concepts
Equip students with a robust understanding of core principles in artificial intelligence, machine learning, data science, and computational thinking to enable lifelong learning and adaptability to evolving technologies.
Technical and Analytical Proficiency
Develop strong analytical and problem-solving abilities using modern tools and techniques in AI and data science to address complex real-world challenges across domains like healthcare, finance, and automation.
Research and Innovation Orientation
Foster a spirit of research and innovation by encouraging students to engage in cutting-edge projects, publish research, and pursue further studies or entrepreneurial ventures in emerging technologies.
Ethical and Social Responsibility
Inculcate professional ethics, social responsibility, and an understanding of the impact of AI-driven decisions on society, privacy, and security.
Effective Communication and Teamwork
Promote effective communication skills, leadership abilities, and collaborative team dynamics necessary for multidisciplinary projects and global work environments.
Industry Readiness and Career Advancement
Prepare students for successful careers in industries such as IT, analytics, robotics, and R&D by providing hands-on training, internships, and exposure to real-time industry problems.
Global Competence
Cultivate a global perspective by integrating international trends, standards, and practices in AI and data science education.
Programme Outcomes (POs)
Advanced Knowledge Acquisition
Graduates will demonstrate a deep understanding of artificial intelligence and data science concepts, methodologies, and applications, including machine learning, deep learning, and big data analytics.
Critical Thinking and Problem-Solving
Develop the ability to critically analyse complex problems and apply AI-driven approaches to derive innovative and effective solutions across various domains.
Programming and Tools Proficiency
Gain expertise in modern programming languages (e.g., Python, R) and AI frameworks/tools such as TensorFlow, Keras, and PyTorch.
Data-Driven Decision Making
Apply statistical, mathematical, and analytical techniques to process and interpret large datasets for informed decision-making.
Research Orientation
Cultivate research skills by engaging in projects and mini-dissertations that contribute to emerging areas of AI and data science.
Communication and Collaboration
Exhibit strong communication skills to effectively present technical information and collaborate in interdisciplinary and multicultural teams.
Ethics and Social Responsibility
Understand the ethical, legal, and societal implications of AI technologies and practice responsible AI deployment.
Lifelong Learning
Demonstrate a commitment to continuous learning and professional development in response to evolving technologies and industry demands.
Project Management
Acquire essential project management skills to plan, execute, and monitor AI and data-driven projects effectively.
Employability and Entrepreneurship
Be well-equipped to pursue careers in industry, academia, or entrepreneurial ventures, contributing to innovation and technological advancement in the AI domain.
Programme Specific Outcomes (PSOs)
Apply Core Concepts of AI and Data Science
Demonstrate a deep understanding of artificial intelligence, machine learning, data science, and big data analytics to solve real-world problems across industries.
Design and Develop Intelligent Systems
Design, build, and implement intelligent systems and models using cutting-edge technologies and frameworks like Python, TensorFlow, R, and cloud platforms.
Solve Complex Computational Problems
Analyse, model, and interpret large datasets to derive actionable insights using statistical tools, data mining techniques, and advanced algorithms.
Embrace Interdisciplinary Approaches
Integrate knowledge from computer science, mathematics, statistics, and domain-specific areas to provide data-driven solutions and AI-enabled systems.
Engage in Research and Innovation
Pursue research in emerging areas such as deep learning, natural language processing, computer vision, robotics, and cognitive computing to contribute to scientific and technological advancements.
Demonstrate Professional and Ethical Responsibility
Apply ethical principles and professional standards in data handling, algorithmic transparency, and AI deployment to ensure responsible innovation.
Communicate and Collaborate Effectively
Exhibit strong communication, teamwork, and project management skills essential for collaborative, multidisciplinary environments.
Pursue Lifelong Learning and Career Growth
Stay updated with evolving AI trends and technologies through continuous learning, certifications, and higher studies to grow as a future-ready data science or AI expert.
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.
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.
The Takshashila University offers scholarships for deserving students. These scholarships are awarded based on academic performance, financial need, and personal achievements. The scholarships aim to provide financial support to talented students who demonstrate a passion for technology and wish to pursue higher education without financial barriers.
Academic Scholarship
S.No | Percentage of marks | Scholarship Amount per year (Rs) |
1 | 60% – 69% | 10,000 |
2 | 70% – 79% | 15,000 |
3 | 80% – 89% | 25,000 |
4 | 90% and above | 35,000 |
Sports Scholarship
S.No | Participation Level | Concession in tuition fee (%) |
1 | District | 25% |
2 | State | 50% |
3 | National | 75% |
4 | International | 100% |
For more information on available scholarships, eligibility criteria, and the application process, please visit our scholarships page.
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
Industry-Aligned Curriculum
Our programs are crafted in collaboration with industry experts to ensure you're job-ready from day one.
Expert Faculty
Learn from seasoned academicians and professionals who bring real-world experience to the classroom.
State-of-the-Art Infrastructure
Experience world-class facilities, including smart classrooms, modern labs, and a resource-rich library.
Holistic Development
Beyond academics, we focus on developing leadership, communication, and critical thinking through clubs, seminars, and cultural events.
Career Support
Benefit from dedicated placement training, internship opportunities, and career counselling to land your dream job.
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?
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.
