M.Tech in Computer Science and Engineering (AI)
- Hands-on Training
- Faculty with International Experience
- Advanced Curriculum
- Upto 100% Scholarship based on merit
About the Course
The M.Tech in Computer Science and Engineering with a specialisation in Artificial Intelligence (AI) at Takshashila University is designed to equip you with advanced knowledge and skills in AI technologies. This course focuses on areas such as machine learning, natural language processing, computer vision, and robotics, all of which are at the forefront of AI research and applications. You will learn to build intelligent systems, develop predictive models, and apply AI to solve complex real-world problems. With a strong emphasis on practical learning, research, and industry exposure, this programme prepares you to become a leader in the rapidly advancing field of artificial intelligence.
Course Curriculum
Year 1
The first year builds a solid foundation in AI fundamentals, algorithms, and mathematical models. You will explore core topics such as machine learning, deep learning, and data mining, while also engaging with research methods that will help you develop AI-based solutions.
Key Subjects: Machine Learning, Algorithms for AI, Mathematical Foundations of AI, Data Mining, Artificial Neural Networks, Research Methodology.
Year 2
In the second year, you will specialise in advanced AI techniques such as reinforcement learning, natural language processing, and robotics. You will also begin working on your dissertation or project, applying AI concepts to address complex problems in various industries.
Key Subjects: Natural Language Processing, Deep Learning, Reinforcement Learning, Robotics, AI in Healthcare, Dissertation/Project Work.
Programme Outcomes (POEs)
Upon completing the M.Tech in Computer Science and Engineering (AI), you will have developed the following competencies:
Advanced AI System Development
You will gain the skills to develop high-quality, scalable software solutions for complex problems in industries such as finance, healthcare, and technology.
Machine Learning Expertise
You will gain the skills needed to design, implement, and optimise machine learning algorithms for predictive analytics, data classification, and decision-making.
Natural Language Processing (NLP)
You will acquire the knowledge to develop NLP applications that allow machines to understand and generate human language, including speech recognition and chatbots.
AI for Problem Solving
You will learn how to apply AI to solve real-world problems in areas such as healthcare, finance, and business, creating intelligent solutions that improve efficiency and outcomes.
Leadership in AI Projects
You will be prepared to lead AI-based projects, collaborating with interdisciplinary teams to develop innovative AI solutions that address complex challenges.
Research and Innovation in AI
You will gain the ability to conduct advanced AI research, contributing to the development of new AI algorithms and techniques that push the boundaries of what is possible with artificial intelligence.
Programme Outcomes (POs)
The M.Tech in Computer Science and Engineering (AI) will help you achieve the following broader learning outcomes:
PO1: Strong Foundation in AI Techniques
You will develop a deep understanding of AI fundamentals, including machine learning, deep learning, and AI algorithms.
PO2: Expertise in Machine Learning and Deep Learning
You will acquire advanced knowledge of machine learning and deep learning techniques, allowing you to build complex AI systems that are capable of learning from data.
PO3: Natural Language Processing (NLP) Proficiency
You will gain expertise in NLP, enabling you to develop AI applications that can understand, process, and generate human language.
PO4: Advanced Problem-Solving and Innovation
You will be able to approach AI-related challenges with innovative solutions, applying state-of-the-art AI techniques to solve real-world problems.
PO5: Collaboration and Leadership Skills
You will develop the leadership skills necessary to manage AI projects and collaborate effectively with multidisciplinary teams to create AI solutions.
PO6: Research and Development in AI
You will be prepared to conduct independent AI research, contributing to the scientific community and advancing AI technology.
Programme Specific Outcomes (PSOs)
Through this programme, you will develop the following specific competencies:
PSO1: Advanced Machine Learning and Deep Learning
You will gain expertise in advanced machine learning and deep learning techniques, including neural networks, reinforcement learning, and generative adversarial networks.
PSO2: Natural Language Processing Applications
You will learn how to build NLP applications, such as language translation, speech recognition, and chatbots, to process and generate human language effectively.
PSO3: AI for Robotics and Autonomous Systems
You will become proficient in developing AI-driven robotic systems, including autonomous vehicles and intelligent robotics that perform complex tasks in dynamic environments.
PSO4: Reinforcement Learning and AI Optimisation
You will gain the knowledge to develop AI systems that learn through trial and error (reinforcement learning), applying this to optimise decision-making processes in real-world scenarios.
PSO5: AI in Industry Applications
You will learn to apply AI techniques to industry-specific problems, such as AI in healthcare for diagnostics, AI in finance for fraud detection, and AI in business for predictive analytics.
PSO6: AI Ethics and Responsible AI Development
You will understand the ethical considerations of AI, ensuring that the AI systems you develop are transparent, fair, and accountable.
Career Scope
Graduates of the M.Tech in Computer Science and Engineering (AI) are in high demand across multiple sectors. Potential career opportunities include:
AI Researcher
- Role: Conduct cutting-edge research in AI and machine learning, developing new algorithms and methodologies for real-world applications.
- Salary: ₹10,00,000 to ₹20,00,000 per annum.
Machine Learning Engineer
- Role: Design and implement machine learning models for predictive analytics, classification, and data analysis.
- Salary: ₹8,00,000 to ₹18,00,000 per annum.
Natural Language Processing Engineer
- Role: Develop NLP applications such as chatbots, voice assistants, and translation systems.
- Salary: ₹9,00,000 to ₹17,00,000 per annum.
AI Product Manager
- Role: Manage the development and deployment of AI-based products, ensuring they meet business needs and user expectations.
- Salary: ₹10,00,000 to ₹18,00,000 per annum.
Robotics Engineer
- Role: Design and develop intelligent robotic systems, applying AI techniques to enable automation and decision-making.
- Salary: ₹9,00,000 to ₹16,00,000 per annum.
Why TAKSHASHILA?
Industry-Focused Curriculum
The M.Tech in Computer Science and Engineering (AI) is designed to equip you with the latest knowledge and skills required in the rapidly evolving field of artificial intelligence.
Hands-On Learning
You will gain practical experience through projects, research, and internships, applying AI techniques to solve real-world problems.
Expert Faculty
Learn from faculty members who are experts in the field of AI and machine learning, providing both academic guidance and industry insights.
Global Career Opportunities
Takshashila University’s strong network of industry partners and global connections opens doors for you to work with leading organisations in AI.
- Applicants must have completed their B.Tech/B.E. in Computer Science and Engineering, Information Technology, or related disciplines with a minimum of 50% marks.
- 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 an innovative and collaborative environment that fosters the development of cutting-edge AI solutions. Our M.Tech programme in AI provides a mix of theoretical learning, hands-on practice, and research that prepares you for a leadership role in AI.
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 today!
Similar Courses
If you are interested in similar fields of study, consider exploring the following programmes:
M.Tech in Computer Science and Engineering
M.Tech in Computer Science and Engineering (Big Data)
M.Tech in Computer Science and Engineering (IoT & Cloud Computing)
For more detailed information about the M.Tech in Computer Science and Engineering (AI), including course content, faculty, and admission process, download our brochure.
Frequently Asked Questions (FAQs)
What is the duration of the M.Tech in Computer Science and Engineering (AI)?
The course lasts for 2 years, divided into four semesters.
Do I need prior experience in AI to apply?
No, the programme is designed for students with a background in computer science or related fields, and no prior AI experience is required.
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 related fields.
Is the programme recognised internationally?
Yes, the M.Tech programme is designed to meet international standards, preparing you for global career opportunities in artificial intelligence.
