B.Tech in Computer Science and Engineering (AI & ML)
- Hands-on Training
- Faculty with International Experience
- Advanced Curriculum
- Upto 100% Scholarship based on merit
About the Course
The B.Tech in Computer Science and Engineering (AI & ML) at Takshashila University is designed to provide students with advanced knowledge and skills in artificial intelligence (AI) and machine learning (ML). This programme focuses on developing expertise in the rapidly growing fields of AI and ML, including deep learning, data mining, natural language processing, and robotics. The course integrates theory and practice, ensuring that you are well-equipped to design and implement AI-based systems and solutions. Through hands-on learning, projects, and industry internships, you will gain the real-world experience necessary to thrive in this dynamic and cutting-edge field.
Course Curriculum
Year 1
The first year lays the foundation in basic engineering principles, including mathematics, physics, and computer science fundamentals. You will also be introduced to programming languages and develop core skills in algorithms, data structures, and computer systems.
Key Subjects: Mathematics, Programming in C, Digital Logic Design, Introduction to Algorithms, Computer Organisation, Physics.
Year 2
The second year builds on core computer science concepts, with an emphasis on data structures, operating systems, and basic principles of AI. You will start working with machine learning algorithms, gaining a solid understanding of supervised and unsupervised learning techniques.
Key Subjects: Data Structures and Algorithms, Discrete Mathematics, Computer Networks, Machine Learning, Operating Systems, Object-Oriented Programming.
Year 3
The third year focuses on advanced machine learning techniques, including deep learning, neural networks, and natural language processing. You will also begin working on AI-based projects and gain industry exposure through internships.
Key Subjects: Deep Learning, Neural Networks, Natural Language Processing, Reinforcement Learning, Data Mining, Internship and Project Work.
Year 4
In the final year, the focus shifts to specialisation in AI and ML applications such as robotics, computer vision, and AI ethics. You will work on your major project, applying AI and ML theories to solve real-world problems.
Key Subjects: Robotics, Computer Vision, Advanced Machine Learning, AI Ethics, Cloud Computing, Major Project and Dissertation.
Programme Outcomes (POEs)
Upon completing the B.Tech in Computer Science and Engineering (AI & ML), you will have gained the following competencies:
AI and ML Expertise
You will have in-depth knowledge of artificial intelligence and machine learning algorithms, allowing you to design, develop, and implement AI-based solutions.
Hands-On Machine Learning Skills
You will gain practical experience with ML libraries and frameworks, such as TensorFlow, Keras, and Scikit-Learn, enabling you to work with real-world data and build intelligent systems.
Problem-Solving with AI Tools
You will develop the ability to solve complex problems using AI and ML tools, applying appropriate algorithms for various applications such as predictive modelling, image recognition, and recommendation systems.
Data-Driven Decision Making
You will acquire the skills to analyse and interpret large datasets using ML techniques, making data-driven decisions and insights for business and research applications.
Team Leadership in AI Projects
You will be trained to lead teams in developing AI and ML solutions, collaborating with other engineers, data scientists, and stakeholders to deliver high-quality products.
Ethical AI Development
You will understand the ethical considerations in AI development, ensuring that the AI solutions you design are fair, transparent, and aligned with societal needs.
Programme Outcomes (POs)
The B.Tech in Computer Science and Engineering (AI & ML) will help you achieve the following broader learning outcomes:
PO1: Strong Foundation in Computer Science and Engineering
You will gain a deep understanding of the fundamental principles of computer science and engineering, laying the groundwork for advanced studies in AI and ML.
PO2: Advanced AI and ML Skills
You will acquire comprehensive knowledge of machine learning, deep learning, and artificial intelligence techniques, enabling you to apply them to real-world problems.
PO3: Analytical and Computational Problem-Solving
You will develop analytical skills to approach complex computational problems and deliver effective AI solutions, ensuring accuracy and efficiency.
PO4: Communication and Collaboration
You will enhance your ability to communicate complex AI and ML concepts effectively, both orally and in writing, and collaborate in multidisciplinary teams to solve problems.
PO5: Practical Application of AI and ML
You will apply your AI and ML knowledge to real-world scenarios, working with large datasets and developing intelligent systems for various industries.
PSO1: Expertise in Machine Learning Algorithms
You will gain proficiency in both traditional and modern machine learning algorithms, applying them to solve problems such as regression, classification, and clustering.
Programme Specific Outcomes (PSOs)
Through this programme, you will develop the following specific competencies:
PSO1: Expertise in Communication Systems
You will gain a deep understanding of both analogue and digital communication systems, enabling you to design, implement, and optimise various communication technologies.
PSO2: Advanced Deep Learning Skills
You will become an expert in deep learning frameworks, understanding neural networks, convolutional neural networks (CNNs), and recurrent neural networks (RNNs) for complex AI tasks.
PSO3: Natural Language Processing (NLP)
You will acquire the knowledge and skills to work with NLP techniques, enabling you to build applications like chatbots, sentiment analysis systems, and text summarisation.
PSO4: AI Ethics and Responsible AI
You will understand the ethical implications of AI and machine learning, ensuring that the AI systems you develop are responsible and aligned with societal values.
PSO5: AI in Robotics and Computer Vision
You will gain expertise in applying AI and ML to robotics and computer vision, developing intelligent systems capable of visual perception and autonomous decision-making.
PSO6: Data-Driven AI Solutions
You will learn to use AI and ML to analyse big data, extracting valuable insights that drive innovation in industries like healthcare, finance, and e-commerce.
Career Scope
Graduates of the B.Tech in Computer Science and Engineering (AI & ML) will be prepared for a wide range of roles in AI, machine learning, and related fields. Career opportunities include:
AI/ML Engineer
- Role: Develop and implement machine learning models for predictive analytics and data-driven decision-making.
- Salary: ₹6,00,000 to ₹12,00,000 per annum.
Data Scientist
- Role: Analyse large datasets, build ML models, and generate actionable insights for business and research applications.
- Salary: ₹7,00,000 to ₹14,00,000 per annum.
AI Researcher
- Role: Conduct research in AI and machine learning, contributing to new algorithms and technologies for academic or industrial applications.
- Salary: ₹8,00,000 to ₹15,00,000 per annum.
Robotics Engineer
- Role: Design and implement AI-driven robotics systems for various applications, including automation and autonomous vehicles.
- Salary: ₹6,00,000 to ₹11,00,000 per annum.
NLP Engineer
- Role: Specialise in building and deploying NLP applications such as chatbots, speech recognition, and text analysis.
- Salary: ₹5,50,000 to ₹10,00,000 per annum.
Why TAKSHASHILA?
Industry-Focused Curriculum
The B.Tech in Computer Science and Engineering (AI & ML) is designed to meet the growing demand for skilled professionals in AI and machine learning, ensuring that you graduate with the skills needed to excel in these fields.
Hands-On Learning
Through practical labs, real-world projects, and internships, you will apply your theoretical knowledge to develop AI and ML solutions that can solve industry-specific challenges.
Expert Faculty
Our faculty includes experts with years of experience in AI, ML, and related technologies, providing you with guidance and mentorship throughout your studies.
Global Career Opportunities
Takshashila University’s strong connections with global technology companies and research institutions open doors for you to pursue a successful career in AI and machine learning.
- 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.
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 / 2nd 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 / 2nd Year of APBIM or +2 of CBSE or Equivalent)
- PG – Overall % in UG
- Diploma – Average mark in 10th /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 experience a world-class education in artificial intelligence and machine learning. Our hands-on learning environment, industry collaborations, and exposure to cutting-edge technologies ensure that you are well-prepared for the future.
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 Machine Learning today!
Frequently Asked Questions (FAQs)
What is the duration of the B.Tech in Computer Science and Engineering (AI & ML)?
The course lasts for 4 years, divided into eight semesters.
Do I need prior experience in AI or ML to apply?
No, the course 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 kickstart your career in electronics and communications engineering.
Is the programme recognised internationally?
Yes, the B.Tech programme aligns with international academic standards, preparing you for global career opportunities in electronics and communication engineering.
