03348051792 admission@adamasuniversity-newgen.com

B.Tech in Artificial Intelligence & Data Science (FinTech)

Understand how technology is transforming the financial world. This program combines core engineering and data science fundamentals with financial systems knowledge, helping students work with analytics, automation, and digital platforms used in banking, fintech, insurance, and financial services.

Easy EMI Available
4 Years 8 Semesters
Classroom Learning +
Experiential Learning
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Eligibility

Minimum 60% aggregate in 10+2 or equivalent from any recognized board with Physics, Mathematics + Chemistry/Computer Science/Electronics/Information Technology/Biology/Informatics Practices/Biotechnology/Technical Vocational Subject/Agriculture/Engineering Graphics/Business Studies/Entrepreneurship (with minimum 45% marks in the respective subject).

Appointments Available for One-on-One Counselling

Call at 03348051792 to immediately talk to our counselor

About the Program

This program focuses on how financial institutions and fintech companies use data, analytics, and technology to deliver services, manage risk, and make informed decisions. Students learn engineering and data science concepts while developing a clear understanding of financial systems such as banking, payments, lending, and capital markets.

Learning is strengthened through practical exposure. Through internships, applied projects, and real datasets, students observe how financial data is analysed and how technology supports modern finance operations. This approach helps students build analytical thinking, domain understanding, and workplace readiness.

Program Features

Future-Oriented FinTech Curriculum

Designed around how finance is evolving through data science, automation, and digital platforms.

Internship-Integrated Learning

Structured internships help students apply data and finance concepts to real industry use-cases.

Strong Foundation in Data & Finance

Students build core technical skills while understanding financial products, systems, and regulations.

360-Degree Learning Model

Academic learning, digital modules, projects, and industry exposure combine to create job-ready graduates.

B.Tech in Artificial Intelligence & Data Science (FinTech) Program Features

Experienced Faculty & Industry Mentors

Learn from faculty and mentors who guide students on data science tools and financial applications.

Career Guidance & Placement Support

Support for resume building, interview preparation, role clarity, and placement opportunities.

Recognised University Degree

Awarded by the university, ensuring academic credibility and recognition across industries.

Skills Acquired

Key competencies you will develop during this program

Financial Analytics Data Science Fundamentals Python for Finance Machine Learning Basics FinTech Platforms Risk & Compliance Awareness Business Intelligence Digital Payments + 5 more

Who Are These Programs For?

  • This program is designed for students who want to build technology-driven careers in finance and analytics.
  • Students who want to understand how data and technology shape modern finance.
  • For learners who value internships, datasets, and real problem-solving exposure.

Program Curriculum

Subject Credit
Engineering Mathematics I 4
Environmental Science 3
Applied Science
Introduction to Programming 2
Electrical and Electronics Technology
Programming Lab 2
Electrical and Electronics Technology Lab
English Communication 2
Principles and Applications of AI
Life Sciences 2
Design Thinking & Prototyping 3
Engineering Mechanics
Engineering Drawing and CAD 2
Engineering Workshop
Certification course IIT
Total Credit 20

Subject Credit
Engineering Mathematics II 4
Environmental Science 3
Applied Science
Introduction to Programming 2
Electrical and Electronics Technology
Programming Lab 2
Electrical and Electronics Technology Lab
English Communication 2
Principle and Applications of AI
Venture Ideation 2
Soft Skills and Aptitude I 1
Design Thinking & Prototyping 3
Engineering Mechanics
Engineering Drawing and CAD 2
Engineering Workshop
Certification course IIT
Total Credit 21

Subject Credit
Machine Learning Fundamentals 4
Business Analytics 4
Marketing Management 4
Object-Oriented Programming 4
Operations Research 4
Total Credit 20

Subject Credit
Deep Learning & Neural Networks 4
Strategic Management 4
Data Mining & Warehousing 4
Financial Management 4
Cloud Computing 4
Total Credit 20

Subject Credit
Natural Language Processing 4
Business Intelligence Systems 4
Supply Chain Analytics 4
Computer Vision 4
Internship I 4
Total Credit 20

Subject Credit
AI for Business Applications 4
Predictive Analytics 4
Digital Marketing Analytics 4
Big Data Technologies 4
Ethics in AI 4
Total Credit 20

Subject Credit
AI Solutions Architecture 4
Enterprise AI Systems 4
Customer Analytics 4
Elective I 4
Internship II 4
Total Credit 20

Subject Credit
Capstone Project 4
AI Entrepreneurship 4
Industry 4.0 & IoT 4
Elective II 4
Professional Development 4
Total Credit 20

Fee Structure

B.Tech in Artificial Intelligence & Data Science (FinTech) Year 1 Year 2 Year 3 Year 4
Tuition Fee 2,00,000 2,00,000 2,00,000 2,00,000
Admission Fee 43,800 - - -
Total 2,43,800 2,00,000 2,00,000 2,00,000
Total Fee (4 Years) 8,43,800
*EMI and flexible payment options available. Scholarships for meritorious students.

Career Opportunities

FinTech Analyst
Avg Salary: ₹4–8 LPA
Role Growth: 14–18%
Industry Growth: 16%
Data Analyst
Avg Salary: ₹4–7 LPA
Role Growth: 12–16%
Industry Growth: 15%
Risk & Compliance Analyst
Avg Salary: ₹4–7 LPA
Role Growth: 11–14%
Industry Growth: 13%
Business Intelligence Executive
Avg Salary: ₹3.5–6.5 LPA
Role Growth: 11–14%
Industry Growth: 13%
Fraud Analytics Associate
Avg Salary: ₹5–9 LPA
Role Growth: 15–20%
Industry Growth: 17%

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Admission Process

STEP 1

Login to the Application Portal and start your application form.

STEP 2

Upload all required documents through the portal.

STEP 3

Appear for the university entrance exam.

STEP 4

Score 40% marks to be eligible for admission.

STEP 5

Accept the offer letter and pay the admission fees to confirm your admission.

Frequently Asked Questions

Get answers to common questions about the B.Tech in Artificial Intelligence & Data Science (FinTech) program

Program Related Queries

This format combines classroom learning with digital content and structured internships. Students learn data science and financial concepts and apply them to real financial datasets and systems.

Graduates can work in banking, fintech companies, consulting firms, insurance, analytics firms, startups, and financial services organisations.

New-Gen Degrees blend academic learning with structured practical exposure during the Program. Students study core concepts and apply them through projects and internships, building skills and confidence before graduation.

A regular degree often ends at classroom learning. New-Gen Degrees add applied learning and work experience, so students graduate with better skills, stronger resumes, and exposure to professional expectations.

Starting salaries vary depending on the program, industry, performance, and market conditions. However, the integrated industry exposure enhances employability by equipping students with practical skills alongside academic qualifications.

No. The academic calendar is structured to balance classroom learning, campus engagement, and internship exposure. Students continue to participate in campus activities, academic events, and peer interaction.

Yes. Hostel facilities are available as per university provisions, ensuring safe and supportive residential options for students.

The blended structure is designed to gradually introduce professional exposure alongside academic learning. Mentorship and supervision help students adapt responsibly to industry environments.

The admission process involves the following steps:
  • Login to the Application Portal and start your application form.
  • Upload all required documents through the portal.
  • Appear for the university entrance exam.
  • Score 40% marks to be eligible for admission.
  • Accept the offer letter and pay the admission fees to confirm your admission.

The upcoming batch is expected to commence between August and September 2026. The exact start date will be communicated to enrolled students closer to the commencement of the program.

Validity and Recognition

Yes. The degree is awarded by the university and follows recognised academic standards, enabling graduates to pursue higher studies or professional roles.

Yes. This program builds strong foundations in data science and finance, helping graduates adapt as financial technologies continue to evolve.

Employers look for candidates who can apply what they've learned. Internship exposure during the Program helps students understand how work is done and perform better in interviews and entry roles.

Yes. The degree is awarded by Adamas University, which is established under the West Bengal Act and recognised by the University Grants Commission (UGC). It holds NAAC accreditation, ensuring adherence to quality standards in higher education.

Yes. Graduates are eligible to apply for postgraduate programs in India or overseas, subject to the admission requirements of the respective institution.

Yes. The degree awarded is a full-fledged university degree from Adamas University, recognised under UGC norms. The academic structure follows regulatory guidelines, ensuring it holds the same academic value as a traditional program.

No. As long as eligibility conditions for specific government roles are met, the degree is valid for competitive exams and public sector opportunities, in accordance with prevailing regulations.

Yes. Graduates are eligible to pursue postgraduate studies in India or abroad, subject to the admission requirements of the respective institution or university.

Internship Related Queries

Internships help students to gain confidence in professional finance and analytics environments.

The university provides structured support through industry partnerships, career services, and mentorship guidance to help students secure relevant internship opportunities.

Yes. The university offers placement support, career counselling, resume guidance, interview preparation, and industry connect initiatives.

Yes. Practical exposure enhances employability by strengthening applied skills, workplace understanding, and professional confidence.

Internship opportunities are aligned with the student’s program and may include startups, SMEs, established corporates, sector-specific organisations, or industry partners relevant to the field of study.

Yes. Internship pathways are structured and guided by the university. Students are supported through verified industry connections and academic supervision to ensure safe and meaningful exposure.

Internships are aligned with structured guidance and safety considerations. The university provides support and advisory mechanisms to ensure student safety and clarity regarding internship arrangements.

Internships are academically integrated and aligned with the learning objectives of the program. Faculty supervision and structured evaluation ensure that professional exposure complements, rather than disrupts, academic progress.

Fee Related Queries

Flexible payment options is available for eligible students. The student support team ll guide you for the same.

Refunds will be processed strictly as per the UGC guidelines and the institute’s refund policy applicable at the time of admission.
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