BTech Computer Science & Engineering with Specialisations in AI & Machine Learning (IBM) 48 months Undergraduate Programme By Sri Sri University |TopUniversities
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BTech Computer Science & Engineering with Specialisations in AI & Machine Learning (IBM)

Location

Sri Sri University Cuttack, Cuttack, India
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Programme Duration

48 monthsProgramme duration

Tuitionfee

16,000 USDTuition Fee/year

Application Deadline

31 Aug, 2026Application Deadline

Main Subject Area

Data Science and Artificial IntelligenceMain Subject Area

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Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

BTech

Study Level

Undergraduate

Study Mode

On Campus

Designed in collaboration with IBM, this specialization offers deep expertise in machine learning, neural networks, and intelligent systems, preparing students for cutting-edge careers in AI-driven industries.

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

BTech

Study Level

Undergraduate

Study Mode

On Campus

Designed in collaboration with IBM, this specialization offers deep expertise in machine learning, neural networks, and intelligent systems, preparing students for cutting-edge careers in AI-driven industries.

Admission Requirements

40+
Passed 10+2 examination with Physics/Mathematics/Chemistry/Computer Science/Electronics/Information Technology/Biology/Informatics Practices/Biotechnology/Technical Vocational subject/Agriculture/Engineering Graphics/ Business Studies/Entrepreneurship Obtained at least 45% marks (40% marks in case of candidates belonging to reserved category) in the above subjects taken together.
OR
Passed D.Voc. Stream in the same orallied sector.
(The University will offer suitable bridge courses such as Mathematics, Physics, Engineering drawing, etc., for the students coming from diverse backgrounds to prepare Level playing field and desired learning outcomes of the Program.
Whereas Physics & Mathematics are mandatory courses at 10+2 Level.

31 Aug 2026
48 Months
Jul

Tuition fees

Domestic
8,711 USD
Domestic (Out of State)
8,711 USD
International
16,000 USD

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

Happy university students

How to get a full scholarship

Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.

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Scholarships to Study Abroad

Scholarships to study abroad

Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.

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Scholarship Applications: Frequently Asked Questions main image

Scholarship Applications: Frequently Asked Questions

Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.

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Frequently Asked Questions

Choosing a specialized B.Tech over a general B.Tech in Computer Science allows students to gain focused and industry-relevant expertise rather than a broad overview. Designed in collaboration with IBM, this specialization provides in-depth knowledge of machine learning, neural networks, and intelligent systems, aligning the curriculum with current and emerging industry needs. It prepares students for cutting-edge careers in AI-driven industries, enhances employability, and equips graduates with practical skills required for advanced roles in data science, artificial intelligence, and intelligent automation.
Specializations differ by focus and career outcomes. While general Computer Science builds broad foundations, specialized programs offer deeper expertise in areas like AI and machine learning. Choose a specialization based on your interests, preferred skills, and career goals—AI-focused tracks suit students aiming for data-driven and emerging technology careers.
Sri Sri University’s faculty combines academic expertise with real-world industry experience, enhanced through active collaborations with companies like IBM, TCS, and others. Its industry-integrated curriculum, research partnerships, and MoUs with institutions such as IIM Sambalpur bring practical insights, internships, projects, and networking opportunities that strengthen student learning and employability
You can apply your knowledge beyond theory through hands-on labs, live industry projects, internships, research assignments, hackathons, and case studies. Industry collaborations, project-based learning, and mentorship help you solve real-world problems, build practical skills, and gain exposure to professional environments beyond classroom learning.
Absolutely! The dedicated placement cell actively collaborates with leading IT companies and organizes placement drives. You receive personalized support with resume writing, interview preparation, and job search strategies, ensuring a smooth transition into your desired career.
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