B.Sc. Data Science
B.Sc. Data Science
About the Department
B.Sc. Data Science at Samata College – Enabling Data-Driven Intelligence and Decision-Making
The Department of Data Science at Samata College, Visakhapatnam, is committed to delivering quality higher education in the rapidly evolving domain of data analytics, artificial intelligence, and machine learning, in alignment with UGC–CBCS, NEP-2020, and NAAC quality benchmarks.
The department focuses on nurturing analytical thinking, statistical reasoning, computational proficiency, and data-driven problem-solving skills. Through a learner- centric, outcome-based, and experiential teaching–learning framework, students are trained to convert raw data into actionable insights, addressing challenges across industry, business, governance, and society.
About the Programme
The B.Sc. Data Science programme is designed as an interdisciplinary and skill-oriented curriculum, integrating mathematics, statistics, computer science, and domain-specific applications, as envisaged by NEP-2020.
The programme provides strong theoretical foundations, practical exposure, and industry- relevant competencies in data handling and analytics.
Core Areas of Study include:
* Programming with Python and R
* Statistics and Probability
* Data Analytics and Data Visualization
* Database Management Systems
* Machine Learning Fundamentals
* Big Data Concepts and Technologies
The curriculum emphasizes laboratory-intensive instruction, real-time projects, case studies, simulations, and data-driven assignments, ensuring graduates are industry-ready and academically competent for higher studies and research.
Vision
To attain excellence in Data Science education by fostering analytical competence, innovation, ethical practices, and lifelong learning, producing professionals who contribute meaningfully to industry, research, and societal development.
Mission
• To deliver quality education integrating statistics, computing, and data analytics
• To equip students with modern data science tools, technologies, and platforms
• To promote research-oriented, experiential, and application-based learning • To prepare graduates for industry roles, entrepreneurship, higher education, and research careers
Distinctiveness
• Interdisciplinary curriculum integrating data science, statistics, and computing
• Strong emphasis on real-world data analysis, interpretation, and visualization
• Industry-relevant tools, analytics platforms, and project-based learning
• Supportive academic ecosystem with experienced and qualified faculty
Why Choose Samata College?
Future-Focused and NAAC-Compliant Programme
The programme is designed to meet global industry expectations, academic standards, and employability benchmarks, ensuring holistic student development.
Industry-Oriented and Analytics-Driven Curriculum
• Strong foundations in statistics and analytical reasoning
• Programming, data visualization, and computational skills
• Exposure to AI, machine learning, and big data concepts
• Application-based projects and experiential learning
Career and Placement Support
Students receive continuous support through: • Academic mentoring and career guidance
• Skill development and certification programmes
• Internship and industry-oriented project opportunities
• Campus and pool-campus recruitment drives
Department Facilities
• Advanced Data Science and Analytics Laboratories
• ICT-enabled smart classrooms
• Learning Management System (LMS)
• Lecture Capturing System (LCS)
• Wi-Fi enabled campus
• Access to digital and electronic library resources
Curriculum Enrichment and Best Practices
• Project-based and experiential learning methodologies
• Industry-aligned mini projects and capstone projects
• Interdisciplinary and multidisciplinary learning opportunities
• Implementation of Outcome-Based Education (OBE)
• Add-on and certification courses in Data Analytics and AI
• Workshops, seminars, and guest lectures by industry experts
• Soft skills development, communication, and career readiness training
Career Opportunities
Graduates of B.Sc. Data Science are equipped for roles such as:
• Data Analyst
• Business Analyst
• Data Engineer (Entry Level)
• Machine Learning Associate
• Business Intelligence and Reporting Analyst
• AI and Analytics Executive
• Research Assistant
• Database and Analytics Support Executive
Students may also pursue higher education (M.Sc./M.Tech), professional certifications,research programmes, or analytics-based entrepreneurship.