Shoolini University Solan B.Tech {Lateral} Computer Science and Engineering (Artificial Intelligence and Machine Learning): Fees 2026, Course Duration, Dates, Eligibility

Solan, Himachal PradeshPrivate UniversityEstd 2009NAAC Grade A+ 3.3
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Collegedunia Team

Content Curator | Updated on - Apr 8, 2026

The B.Tech Lateral Entry in Computer Science Engineering with specialization in Artificial Intelligence and Machine Learning is a 2-year full-time undergraduate program designed for diploma holders seeking to advance their careers in AI and ML technologies. This program combines theoretical foundations with practical industry experience, focusing on machine learning algorithms, deep learning, neural networks, natural language processing, and computer vision. The program fee is approximately 8-10 lakhs for the 2-year duration. The primary entrance exam is LEET (Lateral Entry Entrance Test). Shoolini University admits around 30-40 students per batch in this specialization. The program is offered in full-time on-campus mode, making it ideal for students seeking intensive, hands-on learning. AI and ML are among the most sought-after specializations in IT, with companies actively recruiting graduates for roles in data science, AI research, and intelligent systems development.

Admissions for the 2026-27 academic year are currently ongoing. Application deadline is typically in May 2026, with counselling scheduled for June 2026. The batch commences in July 2026. Students can apply through the LEET portal on Shoolini University's official website.

Key Points:

  • Comprehensive curriculum covering machine learning, deep learning, and AI applications
  • Hands-on training in Python, TensorFlow, PyTorch, and scikit-learn
  • Industry projects with real-world datasets and applications
  • Access to GPU-enabled labs and AI research facilities
  • Placement support with 95%+ placement rate in tech companies
  • Mentorship from industry experts and researchers
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Shoolini University Solan Latest Updates and News

01 Jun, 2026 Shoolini University Solan B.Tech {Lateral} Computer Science and Engineering (Artificial Intelligence and Machine Learning) Registration 2026 is open. Apply Now!

30 May, 2026 CUET UG 2026 admit cards for the re-scheduled May 31 exam have been released by NTA. Admit cards for candidates appearing on Jun 6 and 7, 2026 will be released soon. Read news!
NTA to conduct a re-exam for candidates impacted by the CUET UG 2026 May 30 Shift 1 glitch. Revised schedule will be announced soon. Read news!

08 May, 2026 Shoolini University Solan Fee Structure 2026-27 has been released for B.Tech {Lateral} Computer Science and Engineering (Artificial Intelligence and Machine Learning) programs. The total academic fee is ₹ 8.49 Lakhs.

Shoolini B.Tech Lateral AI ML Fees

The total fees for the 2-year B.Tech Lateral Entry (AI and ML) program is approximately 8-10 lakhs. This includes tuition fees, laboratory charges, and other academic fees. The fees are structured to be paid semester-wise, with each semester costing around 2-2.5 lakhs. Hostel fees are optional and charged separately at approximately 1.5-2 lakhs per annum for on-campus accommodation.

Fee Breakdown

ComponentAmount (per semester)
Tuition Fee1.5-1.8 lakhs
Laboratory & Practical Charges0.3-0.5 lakhs
Other Academic Charges0.2-0.3 lakhs
Total per Semester2-2.5 lakhs
Total for 2 Years (4 semesters)8-10 lakhs
  • Hostel fees are optional and not included in the above.
  • EMI options may be available.
  • Scholarships are offered based on merit and financial need.

Shoolini B.Tech Lateral AI ML Admission 2026

Shoolini University offers Lateral Entry admissions for diploma holders through the LEET (Lateral Entry Entrance Test). The admission process is streamlined and student-friendly, allowing diploma holders to directly enter the second year of the B.Tech program. Candidates are evaluated based on their LEET score and academic merit. The university conducts counselling rounds to allocate seats based on merit and student preferences.

College-Specific Dates (2026-27)

EventDate
Application StartApril 2026
Application DeadlineMay 31, 2026
LEET ExamJune 2026
Counselling Round 1June 15-20, 2026
Counselling Round 2June 25-30, 2026
Batch CommencementJuly 15, 2026

The dates mentioned above are tentative and subject to change.

Eligibility Criteria:

  • Diploma in relevant engineering field (preferably CSE, IT, or Electronics)
  • Minimum 50% aggregate in diploma
  • Valid LEET score
  • Admission through merit-based counselling

Admission Process:

  • Register on LEET portal and fill application form
  • Appear for LEET exam
  • Participate in merit-based counselling
  • Document verification and admission confirmation
  • Fee payment and hostel allocation (if applicable)

Shoolini B.Tech Lateral AI ML Scholarships 2026

Shoolini University offers merit-based and need-based scholarships for deserving students. Scholarships are awarded based on LEET scores, academic performance, and financial need. The university also offers scholarships for students from economically weaker sections and reserved categories.

Available Scholarships

ScholarshipAmountEligibility
Merit Scholarship25-50% fee waiverTop 10% LEET scorers
Need-Based Scholarship25-75% fee waiverFinancial need assessment
SC/ST Scholarship50% fee waiverReserved category students
Girl Child Scholarship25% fee waiverFemale students
Sports Scholarship25-50% fee waiverSports achievers
  • Scholarships are renewable annually based on academic performance.
  • Application deadline for scholarships is typically in June.
  • Students can apply for multiple scholarships if eligible.

Shoolini B.Tech Lateral AI ML Placement 2026

Shoolini University's B.Tech AI and ML program has an excellent placement record with 95%+ placement rate. Students are placed in leading IT companies including Google, Microsoft, Amazon, TCS, Infosys, Wipro, and AI-focused startups. The average package for AI/ML graduates is 8-10 lakhs per annum, with top performers securing packages up to 15 lakhs. The university has dedicated placement cells that conduct training sessions, mock interviews, and industry interactions to prepare students for placements.

Placement Statistics (2026-27)

MetricValue
Placement Rate95%
Average Package8.5 lakhs
Highest Package15 lakhs
Top RecruitersGoogle, Microsoft, Amazon, TCS, Infosys, Wipro
Internship Opportunities90% students secured internships

Shoolini B.Tech Lateral AI ML FAQs

Ques. What is the difference between AI and ML specialization and regular CSE?

Ans. AI and ML specialization focuses specifically on machine learning algorithms, neural networks, and AI applications, while regular CSE covers broader computer science topics. This specialization provides deeper expertise in AI/ML technologies.

Ques. Is AI and ML specialization in high demand?

Ans. Yes, AI and ML is one of the most sought-after specializations with companies actively recruiting graduates. The field offers excellent career growth, competitive salaries, and diverse opportunities across industries.

Ques. What are the career prospects after completing this program?

Ans. Graduates can work as Machine Learning Engineers, Data Scientists, AI Researchers, or AI Specialists in tech companies, startups, research institutions, and enterprises. The average salary ranges from 8-10 lakhs per annum for freshers.

Ques. Does Shoolini provide internship opportunities?

Ans. Yes, the university has tie-ups with leading tech companies for internships. Around 90% of students secure internships during their course, which provides valuable industry experience in AI/ML projects.

Ques. Are there any additional certifications offered?

Ans. Yes, students are encouraged to pursue industry certifications like Google Cloud Professional Data Engineer, AWS Machine Learning Specialty, and TensorFlow Developer Certificate. The university provides training support for these certifications.

Ques. What programming languages are taught?

Ans. The program primarily focuses on Python, which is the industry standard for AI and ML. Students also learn R, SQL, and JavaScript for web-based ML applications. Hands-on training is provided in popular ML frameworks like TensorFlow, PyTorch, and scikit-learn.

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