Computer Science (Data Science)
The Data Science programme in Computer Science & Engineering at Acharya Institute of Technology aims at preparing the students to make intelligent decisions using data and to foster innovation. It’s a fusion of core computer science principles with cutting-edge data analytics and artificial intelligence (AI) technologies. The programme aims to produce engineers who are well prepared for the future. Students acquire a solid background in programming, algorithms, and computing systems as well as specialized knowledge in data analytics, machine learning, artificial intelligence, and big data technologies.
The program, in detail
Program Highlights
- Industry-oriented curriculum integrating computer science, data analytics, AI, and big data technologies
- Hands-on learning with tools such as Python, R, SQL, Hadoop, Spark, TensorFlow, Power BI, Tableau, and cloud platforms
- Skill-oriented Value-Added Programs (VAPs), workshops, and industry certifications
- Exposure to emerging technologies including machine learning, deep learning, NLP, computer vision, and data engineering
- Opportunities to participate in hackathons, bootcamps, technical workshops, and innovation challenges
- Continuous engagement with industry experts, alumni, and research mentors
- Strong focus on implementation-driven learning and real-world problem solving
Research & Innovation
The department promotes a learning environment that is research-oriented and in which students take an active role in innovation and in solving problems based on data. Your opportunity to gain research experience will be through:
- Faculty-guided research projects
- Capstone projects addressing real-world data challenges
- Technical paper presentations and conferences
- Participation in interdisciplinary research initiatives
Experiential Learning
The program stresses learning by doing via practical laboratories, projects, and contact with the industry. Your opportunity to gain hands-on experience will be through:
- Data analytics and machine learning laboratories
- Mini projects and industry-focused capstone projects
- Real-world datasets and data-driven case studies
- Hackathons, coding competitions, and innovation challenges
- Workshops and expert sessions on emerging technologies
Academic Approach
The department uses an Outcome-Based Education (OBE) framework, placing a strong focus on relevance to the industry and on practical learning. This is done through:
- Project-Based Learning (PBL)
- Industry-integrated mini and capstone projects
- Case studies and data-driven problem-solving exercises
- Value-added programs and expert lectures
- Continuous mentoring and technical skill development
- Artificial Intelligence & Machine Learning
- Big Data Analytics
- Data Engineering and MLOps
- Natural Language Processing (NLP)
- Computer Vision and Time Series Analysis
Student Development & Activities
Students will take part in technical and professional development activities outside the classroom, and the department regularly arranges:
- Industry workshops and expert seminars
- Hackathons and coding competitions
- Certification programs and technical bootcamps
- Alumni mentoring sessions and career guidance initiatives
Career Pathways
Data Science is one of the fastest-growing technology fields and provides excellent career prospects in a variety of industries. Students can secure positions with major companies including Infosys, Accenture, Cognizant, Vodafone, MuSigma, Nineleaps, and other international technology firms. Graduates have the opportunity to take on roles such as:
- Data Scientist
- Data Analyst
- Machine Learning Engineer
- AI Engineer
- Big Data Engineer
- Business Intelligence Analyst
- Data Engineer
- MLOps Engineer
- Data analysis & visualization
- Machine learning and artificial intelligence
- Predictive modeling
- Deep learning
- Knowledge representation
- Data-driven decision making
Eligibility
Duration: 4 Years
Eligibility: 10+2 with PCM/PMC/PME + English, min 45%. Age 17+
Entrance Quota: CET/ COMED K / JEE
