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, making it a specialised FinTech Engineering Degree in India. 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

Comprehensive structure spread across 8 semesters

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
Principles 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
Engineering Mathematics III 4
Probability and Inferential Statistics 2
Data Structure and Algorithms 3
Data Structure and Algorithms - Lab 2
Introduction to Modern Business Ecosystems 2
Principles of Programming Language 3
Principles of Programming - Lab 1
Numerical Techniques Lab 1
Introduction to Artificial Intelligence 3
Community Service 1
Minor Project 3
Certification Course IIT
Total Credit 25

Subject Credit
Database Management Systems (SQL & NoSQL) 3
Database Management Systems - Lab 2
Data Visualization & Storytelling (Tableau/PowerBI) 3
Data Visualization & Storytelling (Tableau/PowerBI) - Lab 1
Digital Business Models 2
Supervised Machine Learning 3
Human Values and Professional Ethics 2
UI/UX Design for Data-Driven Applications 3
Design Thinking for AI Products 2
Minor Project 3
Certification Course IIT
Total Credit 24

Subject Credit
Reinforcement Learning & Decision Intelligence 3
Reinforcement Learning & Decision Intelligence - Lab 2
MLOps Automation and Orchestration 3
MLOps Automation and Orchestration - Lab 2
Distributed Systems and Cloud 3
AI for Competitive Advantage and Market Intelligence 3
Deep Learning & Neural Network Architectures
Pattern Recognition and Soft Computing 3
Data Mining and Warehousing
Applied Macroeconomics for AI Engineers 3
Certification Course IIT
Total Credit 22

Subject Credit
Cloud Computing & AI Infrastructure 3
High-Performance Computing for AI/ML 3
High-Performance Computing for AI/ML - Lab 2
Virtualization and Applied Cloud Computing 3
Virtualization and Applied Cloud Computing - Lab 2
AI in Retail and E-Commerce 3
Supply Chain AI & Predictive Logistics
Real-Time Analytics 3
Statistical Modelling for Data Analytics
Disaster Management 3
Digital Signal Processing
Certification Course IIT
Total Credit 22

Subject Credit
AI Governance, Policy and Compliance 2
Crisis Management & Business Continuity in ICT 2
Project Work/Internship/OJT 16
Total Credit 20

Subject Credit
SIRE: Scientific Investigation and Research Experience (Project / Dissertation) 20
Total Credit 20

Note: The course structure shared here is subject to change. Students will be provided with the final course structure during admission.

Fee Structure

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

Fee Components 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 Per Year ₹ 2,43,800 ₹ 2,00,000 ₹ 2,00,000 ₹ 2,00,000
Easy EMI and flexible payment options available.
Scholarships provided for meritorious students.
Total Fee (4 Years) ₹ 8,43,800

Hostel Fee Structure (Food & Lodging) : 2026-27

(Only For New Hostel Students)

Accommodation Type Admission Fee
(One-time/ Non-refundable)		 Security Deposit
(One-time / Returnable)		 Lodging/
Month		 Food/
Month		 Total/
Month		 Total/ Semester
(6 Months)		 Total Payable Amt. at the time
of New Admission
Single Bed AC ₹ 30,000 - ₹ 9,250 ₹ 7,200 ₹ 16,450 ₹ 98,700 ₹ 1,28,700
Single Bed Non AC ₹ 30,000 - ₹ 6,850 ₹ 7,200 ₹ 14,050 ₹ 84,300 ₹ 1,14,300
Double Bed AC ₹ 30,000 - ₹ 8,250 ₹ 7,200 ₹ 15,450 ₹ 92,700 ₹ 1,22,700
Double Bed Non AC ₹ 30,000 - ₹ 4,850 ₹ 7,200 ₹ 12,050 ₹ 72,300 ₹ 1,02,300
Triple Bed AC ₹ 30,000 - ₹ 7,250 ₹ 7,200 ₹ 14,450 ₹ 86,700 ₹ 1,16,700
Triple Bed Non AC ₹ 30,000 - ₹ 3,850 ₹ 7,200 ₹ 11,050 ₹ 66,300 ₹ 96,300
4 Bed AC ₹ 30,000 - ₹ 5,750 ₹ 7,200 ₹ 12,950 ₹ 77,700 ₹ 1,07,700
4 Bed Non AC ₹ 30,000 - ₹ 3,050 ₹ 7,200 ₹ 10,250 ₹ 61,500 ₹ 91,500
DORMITORY ₹ 30,000 - ₹ 2,300 ₹ 7,200 ₹ 9,500 ₹ 57,000 ₹ 87,000
NOTE:
  • Students already residing in the hostel and taking re-admission to UG/Diploma/PG or other courses shall be exempted from the hostel admission charge. However, they shall pay hostel fees as per the new fee structure applicable to new hostel students for the academic year 2026–27.
  • Hostel facility once opted cannot be discontinued within the Academic year. In case a student desires to leave the Hostel and Mess at any time during an academic year, then the payment has to be made for the entire academic year and there’ll be no refund. Hostel and Mess Fee shall be collected in advance on half yearly basis.
  • All the above charges are subject to revision from time to time.
  • The accommodation types Single Bed AC, Single Bed Non-AC, Four Bed Non-AC & Dormitory are not applicable for the girl- 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%

Shape Your Future with NewGen Campus Degree Programs at ADAMAS University

Join thousands of students who are transforming their careers with our innovative NewGen Campus Degree Programs

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Test Syllabus & Sample Paper

To help you prepare for the university entrance exam, below is the syllabus structure and a sample paper to download.

S.no Sections Number of Questions Score Duration
1 Logical Reasoning 10 10 45 min
2 Basic Math 10 10
3 English 10 10
4 General Aptitude 10 10

Download Official Sample Paper

Get familiar with the exact question formats and difficulty level.

Download PDF

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, forming a modern Fintech Engineering Degree in India.

Graduates can work in banking, fintech companies, consulting firms, insurance, analytics firms, startups, and financial services organisations, leading to a strong B.Tech AI Data Science FinTech jobs opportunities.

NewGen Campus Degree Programs 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 with classroom learning. NewGen Campus Degree Programs 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, with outcomes aligned to B.Tech AI Data Science FinTech salary expectations.

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 NewGen Campus Degree Program 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 as part of a B.Tech Fintech Program with an internship in Kolkata.

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 are available for eligible students. The student support team will 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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