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B.Tech (FinTech and Data Science)

Adamas University
Adamas University
Duration

4 Years

Type

UG

Mode

Campus

₹8,43,800

Total Program Fees

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NAAC A
UGC-Entitled
AICTE Approved
NIRF #100-150

Program Overview

For learners who prefer guided academic engagement, B.Tech (FinTech and Data Science) at ADAMAS University brings AI in fintech, digital finance, and financial technology innovation into a classroom-led and practice-oriented environment. The course covers key aspects of Engineering Mathematics I, Environmental Science, fintech models, and AI in finance, allowing learners to strengthen fundamentals while also understanding how the subject is used in professional or academic contexts. Learners benefit from a more hands-on environment where academic learning can be tested through projects and activities. It gives learners a useful starting point for academic growth, practical exposure, and early professional readiness in FinTech Analyst, Data Analyst, and Risk & Compliance Analyst and related fintech strategy, digital banking, risk analytics, product innovation, and AI-enabled finance roles.

Program Highlights

Classroom or blended learning environment that supports direct engagement with AI in fintech, digital finance, and financial technology innovation.
Experiential components help learners explore Engineering Mathematics I, Environmental Science, fintech models, and AI in finance through projects, discussions, or applied tasks.
Encourages concept clarity, collaboration, and guided problem-solving in structured academic settings.
Connects subject learning with digital finance products, customer data, transactions, and risk signals, making the programme more practice-oriented.
Supports future academic and career pathways in FinTech Analyst, Data Analyst, and Risk & Compliance Analyst and related fintech strategy, digital banking, risk analytics, product innovation, and AI-enabled finance roles through a stronger applied foundation, with added focus on problem-solving discipline.

Curriculum

Semester 1
  • Engineering Mathematics I
  • Environmental Science
  • Applied Science
  • Introduction to Programming
  • Electrical and Electronics Technology
  • Programming Lab
  • Electrical and Electronics Technology Lab
  • English Communication
  • Principles and Applications of AI
  • Life Sciences
  • Design Thinking & Prototyping
  • Engineering Mechanics
  • Engineering Drawing and CAD
  • Engineering Workshop
  • Certification Course
Semester 2
  • Engineering Mathematics II
  • Environmental Science
  • Applied Science
  • Introduction to Programming
  • Electrical and Electronics Technology
  • Programming Lab
  • Electrical and Electronics Technology Lab
  • English Communication
  • Principles and Applications of AI
  • Venture Ideation
  • Soft Skills and Aptitude I
  • Design Thinking & Prototyping
  • Engineering Mechanics
  • Engineering Drawing and CAD
  • Engineering Workshop
  • Certification Course
Semester 3
  • Engineering Mathematics III
  • Probability and Inferential Statistics
  • Data Structure and Algorithms
  • Data Structure and Algorithms - Lab
  • Introduction to Modern Business Ecosystems
  • Principles of Programming Language
  • Principles of Programming - Lab
  • Numerical Techniques Lab
  • Introduction to Artificial Intelligence
  • Community Service
  • Minor Project
  • Certification Course
Semester 4
  • Database Management Systems (SQL & NoSQL)
  • Database Management Systems - Lab
  • Data Visualization & Storytelling (Tableau/PowerBI)
  • Data Visualization & Storytelling (Tableau/PowerBI) - Lab
  • Digital Business Models
  • Supervised Machine Learning
  • Human Values and Professional Ethics
  • UI/UX Design for Data-Driven Applications
  • Design Thinking for AI Products
  • Minor Project
  • Certification Course
Semester 5
  • Reinforcement Learning & Decision Intelligence
  • Reinforcement Learning & Decision Intelligence - Lab
  • MLOps Automation and Orchestration
  • MLOps Automation and Orchestration - Lab
  • Distributed Systems and Cloud
  • AI for Competitive Advantage and Market Intelligence
  • Deep Learning & Neural Network Architectures
  • Pattern Recognition and Soft Computing
  • Data Mining and Warehousing
  • Applied Macroeconomics for AI Engineers
  • Certification Course
Semester 6
  • Cloud Computing & AI Infrastructure
  • High-Performance Computing for AI/ML
  • High-Performance Computing for AI/ML - Lab
  • Virtualization and Applied Cloud Computing
  • Virtualization and Applied Cloud Computing - Lab
  • AI in Retail and E-Commerce
  • Supply Chain AI & Predictive Logistics
  • Real-Time Analytics
  • Statistical Modelling for Data Analytics
  • Disaster Management
  • Digital Signal Processing
  • Certification Course
Semester 7
  • AI Governance & Policy and Compliance
  • Crisis Management & Business Continuity in ICT
  • Project Work/Internship/OJT
Semester 8
  • SIRE: Scientific Investigation and Research Experience (Project / Dissertation)

Learning Outcomes

1
Within B.Tech (FinTech and Data Science) from ADAMAS University, analyze digital finance products, customer data, transactions, and risk signals using concepts from Engineering Mathematics I, Environmental Science, fintech models, and AI in finance.
2
Apply subject knowledge to solve fraud detection, credit analytics, compliance, and fintech product challenges with greater structure and clarity.
3
Evaluate fintech decisions that balance innovation, customer trust, risk, and regulation while considering responsible innovation, compliance awareness, and analytical discipline.
4
Create or present fintech use-case briefs, AI model notes, and digital finance strategy summaries with clear structure and practical relevance.
5
Build readiness for progression in FinTech Analyst, Data Analyst, and Risk & Compliance Analyst and related fintech strategy, digital banking, risk analytics, product innovation, and AI-enabled finance roles through stronger subject understanding and applied thinking, while strengthening problem-solving discipline.

Eligibility Criteria

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).

Fees & Financing

Admission Fee

Year 1

₹43,800

Year 2

—

Year 3

—

Year 4

—

Tuition Fee

Year 1

₹2,00,000

Year 2

₹2,00,000

Year 3

₹2,00,000

Year 4

₹2,00,000

Yearly Sum

Year 1

₹2,43,800

Year 2

₹2,00,000

Year 3

₹2,00,000

Year 4

₹2,00,000

Total Program Fees

4 years · all components included

₹8,43,800

💰 EMI Options Available

Starting from ₹17,579/month with 0% interest for first 6 months. Partner banks: HDFC, ICICI, Axis Bank.

About Adamas University

Adamas University

Adamas University

NAAC A UGC-Entitled AICTE Approved NIRF #100-150

Adamas University is located in Barasat, just 13 km from Netaji Subhash Chandra Bose International Airport, Kolkata. The university has a large green campus spread across 120 acres, offering students a peaceful and modern learning environment. Now in its 10th year of operation, the university aims to provide high-quality education to students in West Bengal. It has well-equipped research facilities and an experienced team of teachers who guide students both academically and professionally. Adamas University is accredited with a NAAC ‘A’ Grade, reflecting strong academic processes, faculty quality, learning outcomes, and institutional governance. With 10+ years of focused academic delivery, the university has built a learning ecosystem grounded in consistency, progression, and student success.

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Frequently Asked Questions

1. What is B.Tech in Artificial Intelligence & Data Science (FinTech) in a NewGen Campus Degree Program learning format?
This format combines classroom learning with digital content and structured internships, forming a modern Fintech Engineering Degree in India.
2. What industries can graduates work in?
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.
3. How are NewGen Campus Degree Programs different from regular degrees?
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.
4. Is campus life reduced because of internships?
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.
5. Are hostel facilities available?
Yes. Hostel facilities are available as per university provisions, ensuring safe and supportive residential options for students.
6. Are internships safe and verified?
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.
7. Is EMI or flexible fee payment available?
Flexible payment options are available for eligible students. The student support team will guide you for the same.

Program Details

Duration 4 Years
Mode Campus
Fees ₹8,43,800

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