B.Tech in Data Science and CSE
This program combines core computer science with advanced analytics and machine learning techniques. Students gain hands-on experience in data modeling, visualization, statistical analysis, and predictive systems. Graduates are equipped to analyze complex datasets and transform them into meaningful business and technological insights.
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Our Data Science program focuses on developing skilled professionals equipped to meet the analytical and data-centric demands of the modern world. With a strong foundation in data-driven technologies, research-oriented learning and industry collaboration, we empower students to excel in emerging domains and build successful careers in the evolving digital ecosystem.
97%
Placement Rate
93%
Skill Certification Rate
19.75LPA
Highest Package
40+
Industry Collaborations
2x
Internship Conversions
4.4LPA
Average Package
The different career paths available for the program
Data Scientist
Analytics Consultant
Machine Learning Engineer
AI / Deep Learning Engineer
Business Intelligence Analyst
Corporate Growth Associate
Associate Data Scientist and more
Data Scientist
Analytics Consultant
Machine Learning Engineer
AI / Deep Learning Engineer
Business Intelligence Analyst
Corporate Growth Associate
Associate Data Scientist and more
Cisco CCNA certification programs equip students with industry-recognized networking skills, enabling them to work confidently in telecommunication and network infrastructure environments.
ServiceNow CSA & CAD certifications equip students with in-demand skills in cloud-based workflows and IT service management, enabling them to design enterprise-level solutions.
AWS programs equip students with cloud computing expertise through hands-on labs, enabling them to design, deploy, and manage scalable cloud-based solutions.
Enhance your degree with Honors & Minors
Expand your expertise with specialized minors and distinguished honors programs, designed to complement your degree. Tailor your academic journey to deepen knowledge, sharpen skills, and stand out in your field.
Course & Details
Honors
Offers advanced training in intelligent algorithms, deep learning and AI-driven systems to solve complex, real-world problems.
Minors
Equips students with core knowledge in data analytics, statistical learning and AI tools like Python and R, focusing on real-world data-driven applications.
Academic Requirement
Candidates must have passed Intermediate or 10+2 examination from a recognized Central/State Board with Physics, Chemistry and Mathematics as core subjects.
Candidates must have secured a minimum of 45% aggregate marks in the qualifying examination (10+2 / Intermediate).
Entrance Test Requirement
Admission shall be based on merit through:
TS EAPCET (formerly TS EAMCET)
Joint Entrance Examination (JEE)
State Common Entrance Test
Anurag Common Entrance Test (Anurag CET)
Qualifying Examination on merit
Candidates applying through the Institutional Category must secure a minimum of 60% aggregate in Mathematics, Physics & Chemistry and/or obtain a merit rank in Anurag CET.
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From collaborative spaces to student communities, explore what shapes the Anurag experience.
Clubs
Student-led technical and cultural clubs provide spaces to explore interests, collaborate on ideas, and apply learning beyond the classroom
Learning Spaces
From smart classrooms to advanced laboratories, Anurag University’s learning spaces are designed to support hands-on learning, experimentation, and collaborative problem solving.
Research Overview
Research at Anurag University spans core and emerging areas, encouraging students to engage in inquiry, innovation, and real-world problem solving alongside experienced faculty.
Campus beyond classroom
A vibrant campus life with events, workshops, libraries, and shared spaces ensures learning continues outside formal lectures, shaping well-rounded student experiences.
What does this program cover?
It focuses on data analysis, machine learning, and programming.
Are practical projects included?
Yes, students work on real datasets and hands-on projects.
Is coding necessary?
Yes, programming is essential for data analysis and modeling.
What tools are introduced in this program?
Students learn data analysis tools, programming languages, and frameworks.
How is this program different in approach?
It emphasizes data-driven learning with practical applications.
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