Specialization: CSE (Data Science)
Session Starts – August 2026
Duration – 4 Years
Residential Degree Program
Round Deadline - 15th June 2026
Data Science is currently gaining unprecedented traction across industries worldwide, with the kind of data generated by both machines and humans. Global Tech-giants are leading the way with deployment of cutting-edge technologies that not only churn data, but also provide analytics and in-depth insights that are heavily used to improve their products and services, evaluate their business models, and enhance their decision-making process.
Woxsen's B.Tech CSE in Data Science offers contemporary knowledge, training, and practice to equip the learners with skills to deploy and model data-based solutions to real-world problems. Woxsen is reckoned among the best b.tech institutes in india for its environment and curriculum for learning. Learners will demonstrate strong capabilities to identify both structured and unstructured data, providing innovative solutions with the power of new technology.
Semester 1
+| Course Title |
|---|
| Computational Thinking and Problem Solving |
| Computational Thinking and Problem Solving Practical |
| Engineering Mathematics |
| Design Thinking for Technologists |
| Applied Physics for Next Generation |
| Applied Physics for Next Generation Practical |
| Electronic Devices and Fundamentals for IoT |
| Electronic Devices and Fundamentals for IoT Practical |
| Environmental Science |
| 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 |
| Chemistry for Sustainable Future |
| Chemistry for Sustainable Future Practical |
| Communication skills for Engineers |
| Communication skills for Engineers Practical |
| Probability & Statistics |
| Indian Knowledge Systems |
| Societal Internship Project |
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 – I |
| Fundamentals of Data Science |
| Deep Learning |
| Discipline Specific Elective – I |
| Skill – Based Elective – I |
| Foundations of Identity and Communication |
Semester 6
+| Course Title |
|---|
| Applicative Project – II |
| Big Data Analytics |
| Discipline Specific Elective – II |
| Discipline Specific Elective – III |
| Skill – Based Elective – II |
| Software Engineering Studio |
Semester 7
+| Course Title |
|---|
| Capstone Project – I |
| Applied Time Series Analysis |
| 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 |
|---|
| Natural Language Processing |
| Adaptive Decision Systems |
| AI Risk, Robustness, and Failure Analysis |
| Graph Analytics |
| Robust and Responsible Data Systems |
| Real-Time Analytics and Decision Support Systems |
| Data Engineering Using Microsoft Fabric |
| Microsoft Azure Project Deployment Mastery |
| Advanced Computer Vision |
| Open Electives |
|---|
| Cloud Computing |
| Cryptography and Network Protocols |
| Edge AI and Smart IoT Systems |
| Generative AI Fundamentals |
| Embedded 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 analytical approaches and visualization ability by utilizing in-demand tools such as R & Python, Tableau, Hadoop, and Predictive Analysis.
Develop strategies and critical thinking skills for scientific research implementation and communication.
Demonstrate your ability to convert data patterns into actionable evidence and to apply quantified mathematical models to relevant variables.
Ability to initiate core scientific skills in the design, analysis, and implementation of IT and Big Data Architectures, Data Engineering & Modelling, and Data Mining.
Combine the potential of Science & Technology in implementation and application or dealing with real-world data driven challenges
Gain a thorough understanding of IT Project Management, as well as the legal criteria and guidelines for data handling while projecting ethical thinking skills.
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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