SSTC B.Tech Artificial Intelligence & Machine Learning: Fees 2026, Course Duration, Dates, Eligibility

Bhilai, ChhattisgarhEstd 1999 CSVTU, Bhilai NAAC Grade A 3.1
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Collegedunia Team

Content Curator | Updated 3+ months ago

Shri Shankaracharya Technical Campus (SSTC) in Bhilai offers a 4-year full-time Bachelor of Technology (B.Tech) program in Artificial Intelligence and Machine Learning. This undergraduate program is designed to develop skilled AI/ML engineers with expertise in machine learning algorithms, deep learning, natural language processing, and computer vision. The program emphasizes both theoretical knowledge and practical skills through hands-on projects, industry collaborations, and real-world applications. With a total fee of 3.11 Lakhs for the entire 4-year duration, the B.Tech AI&ML program provides quality engineering education at an affordable cost. The program is offered in full-time mode on campus, providing students with access to modern computing laboratories, AI tools, and experienced faculty.

Admission Status and Timeline: B.Tech admissions at SSTC are conducted through Chhattisgarh PET (Pre-Engineering Test). For the 2026-27 academic year, admissions are ongoing. The admission process involves merit-based selection based on CG PET scores and academic performance. Interested candidates should check the official SSTC website for specific application deadlines and admission notifications. The college conducts regular admission cycles, with new batches typically starting in August.

Key Points:

  • Comprehensive curriculum covering machine learning, deep learning, and AI applications
  • Hands-on training with industry-standard tools like TensorFlow, PyTorch, and scikit-learn
  • Exposure to natural language processing, computer vision, and reinforcement learning
  • Mentorship from faculty with AI/ML industry experience
  • Internship opportunities with tech companies and AI startups

SSTC B.Tech AI&ML Fees

The B.Tech AI&ML program at SSTC is affordable with a total fee of 3.11 Lakhs for the entire 4-year duration, translating to approximately 77,750 per year. This fee structure includes tuition, development fees, and laboratory charges. The fees are refundable in nature, and students may be eligible for various scholarships based on merit and financial need. The college offers flexible payment options, allowing students to pay fees on a semester-wise basis. Additional charges, if any, such as examination fees or project fees, will be communicated separately.

Fee Structure

Fee ComponentAmount (INR)
Annual Tuition Fee77,750
Total Fees (4 Years)311,000
  • Fees are refundable.
  • Students may be eligible for merit-based scholarships and government scholarships like NSP.
  • Flexible payment options available (semester-wise).
  • Additional charges for specific courses or projects may apply.

SSTC B.Tech AI&ML Admission 2026

The B.Tech program at SSTC follows a merit-based admission process through Chhattisgarh PET. Candidates with 10+2 qualification in Science stream (Physics, Chemistry, Mathematics) are eligible to apply. The admission process considers CG PET scores and academic performance. Candidates are required to participate in the counselling process conducted by the state authorities. The selection is based on merit rank obtained in CG PET.

Important Dates

EventTimeline
CG PET ExamJune 2026 (Tentative)
Merit List AnnouncementJune - July 2026 (Tentative)
Counselling RegistrationJuly 2026 (Tentative)
Seat AllotmentJuly - August 2026 (Tentative)
Admission RegistrationAugust 2026 (Tentative)
Semester StartAugust 2026 (Tentative)

The dates mentioned above are tentative and subject to change.

Eligibility Criteria

  • 10+2 qualification with Physics, Chemistry, and Mathematics as main subjects with minimum 50% marks
  • Valid CG PET score (Chhattisgarh Pre-Engineering Test)
  • Indian citizen or NRI/OCI status

Admission Process

  • Appear for CG PET examination conducted by the state authorities
  • Check merit list released by the state counselling authority
  • Register for counselling on the official state portal
  • Participate in online counselling and select college and branch preferences
  • Receive seat allotment based on merit and preferences
  • Complete admission formalities at the college
  • Register with the university and pay admission fees

SSTC B.Tech AI&ML FAQs

Q1: What are the main areas of study in B.Tech AI & Machine Learning?

Ans. The program covers machine learning algorithms, deep learning, neural networks, natural language processing, computer vision, reinforcement learning, and AI applications. Students learn both theoretical concepts and practical implementation through projects.

Q2: What tools and frameworks are taught in the program?

Ans. SSTC teaches industry-standard tools including Python, TensorFlow, PyTorch, scikit-learn, Keras, and OpenCV. Students also learn data preprocessing, feature engineering, and model deployment techniques.

Q3: Are there internship opportunities during the B.Tech program?

Ans. Yes, the B.Tech program includes internship opportunities with tech companies, AI startups, and research organizations. Students typically undertake internships during summer breaks and final year.

Q4: What are the career prospects after completing B.Tech AI & ML?

Ans. B.Tech AI&ML graduates can pursue careers as Machine Learning Engineers, Data Scientists, AI Researchers, Computer Vision Engineers, and NLP Specialists in tech companies, startups, and research institutions.

Q5: Does SSTC have tie-ups with tech companies for placements?

Ans. Yes, SSTC has tie-ups with leading tech companies and AI startups. The college's Career Development Center assists B.Tech graduates in securing positions through campus placements and internships.

Q6: What is the average salary package for B.Tech AI & ML graduates?

Ans. B.Tech AI&ML graduates from SSTC typically receive competitive salary packages. The exact package varies based on individual performance and the recruiting company. The college maintains strong industry connections to ensure good placement opportunities.

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