Admissions 2026-27 are OPEN — B. Tech. AI-ML and Data Science - Collaboration with IBM   |  
SPU × IBM — Industry Collaboration
Sankalchand Patel College of Engineering  |  AI-ML and Data Science

B.Tech AI-ML and
Data Science

Collaboration with IBM
4 Year Full-Time
Industry-Integrated
Limited Seats – 90

Master the technologies rewriting the global future with our B.Tech in AI-ML and Data Science, built in exclusive collaboration with IBM. Gain hands-on experience using industry-standard machine learning frameworks, data visualization tools, and neural networks. Graduate with a powerful portfolio of live enterprise projects and step straight into high-demand engineering roles at top-tier global tech giants.

0
Total Seats
0%
Placement Rate
0L
Avg. Package
0+
Industry Partners

Admission 2026–27

B. Tech. AI-ML and Data Science

#1
IBM — a global leader in AI, Automation & Innovation
95%+
Placement Record at SPU Engineering
Live Labs
Advanced Data Science & AI Frameworks On Campus
Dual Cert.
SPU Degree + IBM Professional Badges
The Collaboration

SPU × IBM
A Game-Changing Partnership

IBM is a global leader in technology, artificial intelligence, and cognitive innovation, operating in over 170 countries to power data-driven solutions for the world's largest enterprises. This exclusive collaboration brings IBM's real-world data science expertise and cutting-edge machine learning methodologies directly into the classroom at SPU.

  • Co-designed curriculum — IBM experts co-author course content with SPU faculty to match contemporary AI industry frameworks
  • AI & Data Hub access — Gain hands-on access to advanced IBM computational suites, datasets, and cognitive modeling tools
  • Industry mentorship — Regular masterclasses and algorithmic guidance from certified IBM data scientists and engineers
  • Predictive Analytics Hackathons — Work on complex, real-world data streams and compete in exclusive IBM-partnered code challenges
  • Career readiness — Access to IBM's global partner networks, job portal ecosystem, and placement pipelines in AI engineering
  • Dual certification — SPU B.Tech degree + Globally recognized IBM Professional Badges in Artificial Intelligence and Data Science
IBM Artificial Intelligence and Data Science Innovation Lab
Career Outcomes

Where Will You Work?

Graduates are in high demand across artificial intelligence development, predictive analytics, enterprise big data engineering, and cognitive tech sectors.

Machine Learning Engineer

Design, build, and scale predictive models, neural network architectures, and deep learning pipelines for production systems.

IBM WatsonGoogle AIMeta AINVIDIA
9 – 26 LPA

Data Scientist

Analyze massive unstructured datasets, extract business intelligence, and deploy statistical algorithms for complex decision-making.

IBMMu SigmaFractal AnalyticsAccenture
8 – 24 LPA

Big Data Architect

Develop, construct, and maintain large-scale data storage systems, ETL processing pipelines, and data lake frameworks.

TCSCognizantWiproInfosys
7 – 20 LPA

AI Product Developer

Integrate conversational AI agents, NLP frameworks, and computer vision tools into consumer web and mobile applications.

MicrosoftAmazonHCLTechTech Mahindra
6 – 18 LPA

Business Intelligence Consultant

Translate algorithmic discoveries into interactive dashboards and enterprise-wide strategic operational roadmaps.

DeloitteEYKPMGPwC
7 – 22 LPA

Research & Higher Studies

Pursue M.Tech, MS, or Ph.D. in deep learning, generative AI, computational statistics, or quantum analytics at elite institutes.

IITs / IIScBITS PilaniGATEGRE/GMAT
Research Fellowships Available
IBM Edge

The IBM Advantage

What makes this program uniquely powerful — industrial intelligence, global computing standards, real outcomes.

170+

Global Countries Presence

IBM operates in over 170 countries, driving digital transformation and enterprise scale worldwide.

1st

Pioneer in Cognitive Computing

Learn within an elite architecture framed by the creators of trailblazing enterprise AI and supercomputing frameworks.

AI Lab

IBM Innovation Analytics Hub

Direct hands-on access to enterprise IBM data science suites, neural modeling environments, and open-source datasets.

Badges

IBM Professional Certifications

Earn globally recognized IBM Professional Badges alongside your SPU B.Tech degree to supercharge your CV.

Ecosystem

Advanced Analytics Frameworks

Exclusive access to IBM's global learning resources, scalable pipeline tools, and predictive modeling testbeds.

Mentors

IBM Certified Data Scientists

IBM's senior data scientists, predictive analytics experts, and machine learning leads mentor you every single semester.

Admission Process

Eligibility & How to Apply

Simple, transparent admission process for aspiring cloud and AI engineers.

Eligibility Criteria

Class 12 (10+2) – PCM Required Physics, Chemistry, Mathematics as core subjects in HSC / 12th Standard
Minimum 60% in PCM aggregate SC/ST/OBC candidates get 5% relaxation as per Gujarat norms
JEE Main / GUJCET Score (preferred) Valid JEE Main or GUJCET score is preferred; direct admission also available
Age Criteria Minimum 17 years as on 31st December 2026
Lateral Entry (Diploma Holders) Diploma in Computer Engg. / IT / EC with 60%+ eligible for direct 2nd year admission
NRI / International Students Separate quota available — contact admissions@spu.ac.in

How to Apply — 6 Steps

  1. Register Online Go to spu.ac.in/admissions and create your applicant account with email + mobile
  2. Fill Application Form Select B.Tech Computer Science Engg. → Specialisation: AI-Powered Cloud & DevOps (IBM)
  3. Upload Documents 10th & 12th marksheets, JEE/GUJCET scorecard, ID proof, passport photo
  4. Pay Application Fee Secure online payment via UPI, Net Banking or Card. Non-refundable.
  5. Merit List & Counselling Seat allotment based on GUJCET / JEE merit. Counselling Aug 15–20, 2026
  6. Confirm Admission Report with originals, pay first year fees & gain access to the SPU-IBM tech ecosystem!
FAQ

Frequently Asked Questions

Everything you need to know before applying to this program.

What makes this program different from a regular B.Tech Computer Science Engineering?

This is an elite, industry-integrated track of B.Tech Computer Science Engineering running in exclusive collaboration with IBM. Unlike a general CSE degree, this curriculum features deep engineering specialization in Artificial Intelligence, Machine Learning models, and Big Data pipelines. Students get direct access to IBM computational tools, masterclasses from certified IBM data scientists, preparation for global IBM Professional Badges, and entry into IBM's premium career ecosystem pipelines.

Is the degree valid and recognised?

Yes. The B.Tech degree in Computer Science Engineering is awarded by Sankalchand Patel University (SPU), a NAAC-accredited university. The degree is fully recognized by UGC, AICTE, and all global professional bodies. The specialized IBM credentials and digital badges are additional industry-validated accolades that sit on top of your university degree.

What are IBM Professional Badges, and how do they benefit me?

IBM Digital Badges are globally recognized, verifiable credentials that prove your proficiency in specific skills like Data Engineering, Predictive Analytics, Deep Learning, and Generative AI frameworks. Integrated directly into your coursework, these badges are highly searchable by tech recruiters globally on platforms like LinkedIn and give your resume a definitive competitive edge.

What is the fee for this program and are scholarships available?

The tuition fee is regulated by the government (ACPC) and matches standard engineering structures in Gujarat. The integrated IBM computational platform access, big data sets, and badge examinations are bundled directly into the ecosystem with no additional hidden costs. Merit-based scholarships, SC/ST/OBC fee concessions, and banking loan assistance are fully accessible. Contact the admissions desk at 9736362020 for a precise fee itinerary.

What is the intake capacity? How competitive is admission?

To preserve lab resource quality and direct algorithmic mentorship standards, the program is strictly limited to 90 seats. Admission is merit-based via GUJCET or JEE Main evaluation frameworks. Because it is an IBM co-delivered computing track focusing on the high-demand fields of AI-ML and Data Science, seats tend to lock in rapidly. We advise submitting your application ahead of the primary deadlines.

Can diploma holders apply? What about NRI / international students?

Yes! Diploma holders in Computer Engineering, Information Technology, or Electronics & Communication with a 60%+ aggregate can apply directly for lateral entry (admission into the 2nd year). NRI and international applicants can process through the specific NRI reservation quota by mailing admissions@spu.ac.in or reaching out to +91 9736362020.