Specialization: CSE (AI & ML)
Session Starts – August 2026
Duration – 4 Years
Residential Degree Program
Round Deadline - 1st July 2026
The global artificial intelligence market size is expected to expand at 40% (CAGR) between 2021 to 2028 - Source (Grandview Research). The accelerating rate of innovation has brought AI to the centre of every business, on the global level. From Manufacturing, Retail, Healthcare to Media and Entertainment, AI is one of the significant elements in the digital revolution.
B.Tech CSE (AI & ML) at Woxsen University offers in-depth learning in the entire spectrum from Programing, Natural Language Processing, Deep Learning, Machine Learning & Neural Networks. The industry endorsed curriculum is backed by rigorous training at Woxsen's world-class labs, simulation projects and live-projects for the much needed hands-on knowledge required in this field.
Semester 1
+| Course Title |
|---|
| Computational Thinking and Problem Solving |
| Computational Thinking and Problem Solving Practical |
| Engineering Mathematics |
| Design Thinking for Technologists |
| Chemistry for Sustainable Future |
| Chemistry for Sustainable Future Practical |
| Communication skills for Engineers |
| Communication skills for Engineers Practical |
| Indian Knowledge Systems |
| Experiential Learning Project |
Semester 2
+| Course Title |
|---|
| Data Structures and Algorithms with Industry Applications |
| Data Structures and Algorithms with Industry Applications Practical |
| Object Oriented Programming |
| Object Oriented Programming Practical |
| Probability & Statistics |
| Applied Physics for Next Generation |
| Applied Physics for Next Generation Practical |
| Electronic Devices and Fundamentals for IoT |
| Electronic Devices and Fundamentals for IoT Practical |
| Societal Internship Project |
| Environmental Science |
Semester 3
+| Course Title |
|---|
| Conceptual Project – I |
| Modern Database Systems |
| Design Analysis of Algorithm |
| Foundations of Artificial Intelligence |
| Discrete Mathematics for Computer Science |
| Technology, Institutions, and Society |
| Industry Integrated Technical Writing |
| Advanced Communication and Logical thinking |
Semester 4
+| Course Title |
|---|
| Conceptual Project – II |
| Operating Systems and Concurrent Computing |
| Data Communication Networks |
| Machine Learning and Neural Networks |
| Modern Web Application Engineering |
| Engineering Systems and Decision Making |
| Language and Critical Thinking |
| Numerical and Personality Refinement |
Semester 5
+| Course Title |
|---|
| Applicative Project-1 |
| Natural Language Processing |
| Deep Learning |
| Discipline Specific Elective – I |
| Skill – Based Elective – I |
| Foundations of Identity and Communication |
Semester 6
+| Course Title |
|---|
| Applicative Project – II |
| Explainable & Trustworthy AI |
| Discipline Specific Elective– II |
| Discipline Specific Elective – III |
| Skill – Based Elective – II |
| Software Engineering Studio |
Semester 7
+| Course Title |
|---|
| Capstone project-I |
| Responsible and Human-Centered AI |
| Open Elective |
| Skill – Based Elective – III |
| Global Elective |
Semester 8
+| Course Title |
|---|
| Capstone Project – II |
| Skill – Based Elective – IV |
| Industry Internship |
Electives
+| Discipline Specific Electives |
|---|
| Computer Vision |
| Generative AI |
| Reinforcement Learning for Autonomous Systems |
| AI Risk, Robustness, and Failure Analysis |
| Applied Time series analysis |
| Agentic AI |
| Data Engineering Using Microsoft Fabric |
| Microsoft Azure Project Deployment Mastery |
| Open Electives |
|---|
| Digital Forensics |
| Embedded Systems |
| Big Data analytics |
| Edge AI and Smart IoT Systems |
| Data Engineering and Cloud Analytics |
| Global Electives |
|---|
| AI for Business Intelligence and FinTech |
| Health & Wellness/Yoga education/ sports/ fitness |
| Urban Technology Challenge I |
| Industry-Defined Technical Challenge |
| Technology Venture Formation |
| Responsible Leadership |
| Reflecting Self |
| Existential Dialogue |
| Skill-Based Elective |
|---|
| Ideation and Business Model Design |
| Proof of Concept and Technical Feasibility |
| Minimum Viable Product and User Validation |
| Market-Ready Product and Startup Launch |
| Research Foundations and Scientific Inquiry |
| Empirical Research Methods |
| Research Writing, Publishing and IP |
| Industrial Prototyping |
| India: Economy, Society & Development |
| Technical Communication |
| Engineering Aptitude |
| Professional Programming Practice |
| Systems Design and Algorithmic Engineering |
| AI in Industry |
| Engineering challenges in Agentic AI Systems |
Solve complex, new-age engineering problems by applying fundamental knowledge of mathematics, science, and engineering to come up with inventive solutions.
Identification, Reviewing previously conducted studies, and Analysis of Industry 5.0 Engineering Problems to reach conclusions using the fundamental principles of mathematics, science, and engineering sciences.
Understanding and recognising limitations while developing and applying available resources, techniques, and in-demand engineering tools to complex engineering activities.
Engineering necessitates the application of ethical principles and a commitment to professional ethics, as well as taking on societal responsibilities and adhering to engineering norms.
Harnessing the modern technologies to their full potential while understanding the societal and environmental impact of their solutions and demonstrating knowledge of sustainable practises for the safety and betterment of society.
Evaluation of overall societal issues as well as the responsibilities that rise with them in the modern and professional engineering context by applying contextual information.
Demonstrate extensive knowledge of theory and application in the intricacies of Artificial Intelligence and Machine Learning.
Develop and showcase the skills in Classic AI Techniques such as Algorithms & Neural Networks
Ability to reason and solve complex AI & ML problems by devising novel solutions using programing languages and current technologies
Ability to identify, create, and apply the capabilities and potential of AI-enabled systems beyond the capabilities and potential of conventional technology as required by Industry 5.0
Understanding and in-depth knowledge of algorithms and statistical models that aid in pattern recognition, computer vision, and software implementation.
Combining science and technology to address issues such as safety and security, a lack of actual AI understanding, and quality standards as part of AI-Driven Challenges.
Graduates of the B.Tech program will be able to apply their knowledge for developing novel solutions to the existing real-world problems and can look forward to a wide range of roles in advanced computing and related disciplines including:
Why is Woxsen University considered among the top B.Tech colleges in Hyderabad?
+Woxsen University offers industry-aligned engineering programs, experiential learning, global exposure, modern laboratories, and interdisciplinary learning opportunities that help students build future-ready careers.
What makes Woxsen University one of the top engineering colleges in India?
+The university combines academic excellence, industry partnerships, innovation-driven learning, internships, research opportunities, and advanced infrastructure to prepare students for evolving technology sectors.
Is Woxsen University a good choice among private colleges for B.Tech?
+Yes, Woxsen University offers a future-focused engineering curriculum, experienced faculty, practical learning opportunities, industry engagement, and strong career development support.
What B.Tech specializations are available at Woxsen University?
+Students can pursue emerging technology-focused specializations such as Artificial Intelligence & Machine Learning, Data Science, Blockchain, Internet of Things, and related engineering domains.
How does Woxsen University prepare engineering students for future careers?
+The curriculum includes internships, industry projects, innovation challenges, research exposure, entrepreneurship opportunities, and hands-on technical learning.
Does Woxsen University provide internship opportunities for B.Tech students?
+Yes, students gain industry exposure through internships, live projects, industry collaborations, and experiential learning initiatives.
What facilities are available for engineering students at Woxsen University?
+Students have access to advanced laboratories, innovation centers, collaborative learning spaces, modern classrooms, and technology-enabled resources.
How can students apply for B.Tech admission at Woxsen University?
+Eligible students can apply through the university admission process by submitting the application form and completing the required admission evaluation.
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*25% seats for admissions are reserved for the students of the State of Telangana under the domicile-based reservation clause mentioned in The Telangana State Private Universities (Establishment and Regulation) Act, 2018.
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