B.Sc. - Artificial Intelligence

Power Your Career to New Heights Beyond Human Limits with AI

About Course

  • Location - GHRSTU Nagpur
  • Duration -3 years (2 sem per year)
  • Course Type - Full time
  • Affiliated - UGC

The B.Sc. in Artificial Intelligence program provides a deep understanding of AI principles, techniques, and applications. Students learn about machine learning, deep learning, neural networks, and data analytics. The curriculum combines theoretical knowledge with practical skills through projects, labs, and internships. Key topics include natural language processing, computer vision, and AI ethics. The program prepares students to develop innovative AI solutions and apply them across various industries, from healthcare to finance.

Objectives of Program

  • To equip students with a strong foundation in artificial intelligence theories and applications.
  • To develop practical skills in machine learning, data analytics, and AI system design.
  • To prepare students for careers in AI by providing hands-on experience through projects and internships.
  • To ensure graduates become capable of using AI tools and technologies efficiently for solving real-world problems.

Future in B.Sc. - Artificial Intelligence

  • The AI industry in India is expected to grow at a CAGR of 35% from 2023 to 2028.
  • The demand for AI professionals is projected to reach 23 lakh by 2025.
  • The Indian AI market is expected to be worth $20 billion by 2027, driving job creation and innovation.
  • With the rise of AI applications in healthcare, finance, and manufacturing, new career opportunities are emerging.

Eligibility

  • Candidates should have completed 10+2 (SSC and HSC) or equivalent with a science stream (Physics, Chemistry, Biology/Mathematics, English).
  • Candidates must have a minimum of 45% aggregate marks in HSC for the open-category and 40% for the reserved-category.

Study at GHRSTU for a successful future & drive your career in the right direction with our B.Sc. - Artificial Intelligence Programs

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Admission Procedure

Admission shall be through the Centralised Admission Process (CAP). Educational institutions will admit candidates through stages such as publishing the Information Brochure on the Competent Authority's website, which candidates should read carefully. Candidates must fill out the Online Application Form according to the notified schedule for respective admissions. For detailed information, refer to the Information Brochure for Admission to Undergraduate Technical Courses by DTE Maharashtra.

CAP Admission Process
  • Registration
  • Document verification
  • Filling out the application form
  • Release of merit list
  • Allotment of College(Freeze, Slide, Float)
  • Report to College along with DTE allotment letter, original documents and prescribed fees for Actual Admission
Documents Required

Candidates must submit the following self-attested documents (Original + 2 Sets of Photocopies) along with the application form:

  • DTE Registration Letter
  • DTE Allotment Letter (for CAP)
  • Entrance Exam Score Card
  • SSC (Std. X) Mark sheet
  • HSC (Std. XII) Mark sheet
  • Diploma Mark Sheet/Certificate (if applicable)
  • Provisional Degree (if applicable)
  • College Leaving Certificate / Transfer Certificate
  • Eligibility Certificate (for candidates from outside Maharashtra)
  • Domicile Certificate
  • Nationality Certificate
  • Enrolment Form
  • Any other document mentioned as per DTE
  • PAN Card & Aadhar Card Photocopy
  • Bank Passbook Photocopy (Aadhar linked A/C Number)

Technical Skills that you will learn

  • Python Programming
  • TensorFlow
  • Keras
  • PyTorch
  • OpenCV
  • Scikit-learn
  • Pandas
  • Matplotlib
  • NLTK
  • Jupyter Notebook

Careers

Job Opportunities

Graduates of the B.Sc. in Artificial Intelligence program can pursue various career paths, including:

Entry Level:
  • AI Research Assistant
  • Data Analyst
  • Junior Machine Learning Engineer
  • AI Developer
Mid Level:
  • Machine Learning Engineer
  • Data Scientist
  • AI Solutions Architect
  • Research Scientist
Senior Level:
  • AI Lead
  • Chief Data Scientist
  • AI Product Manager
  • Director of AI Research
Further Studies Options
  • M.Sc. (Master of Science) in Artificial Intelligence or related fields.
  • MBA (Master of Business Administration) with a focus on Data Science and AI Management.
  • PhD (Doctor of Philosophy) in Artificial Intelligence or research-focused programs aimed at advancing knowledge in AI.
  • Specialised Certifications. Eg:- Certified Artificial Intelligence Engineer, Certified Data Scientist, TensorFlow Developer Certificate.

FAQs

What does the course cover?

The B.Sc. in Artificial Intelligence covers AI principles, machine learning, deep learning, and data analytics. The course includes practical training in areas such as natural language processing, computer vision, and AI ethics, with hands-on projects and internships.

Starting salaries for B.Sc. in Artificial Intelligence graduates typically range from ₹1.5 lakhs to ₹4 lakhs per annum, depending on the job role, company, and location. Salaries can increase significantly with experience and advanced skills.

Key skills include machine learning algorithms, deep learning techniques, natural language processing, computer vision, data analytics, neural networks, Python programming, and proficiency with AI tools such as TensorFlow and Keras.

Candidates should have completed 10+2 (SSC and HSC) or equivalent with a science stream (Physics, Chemistry, Biology/Mathematics, English). Candidates must have a minimum of 45% aggregate marks in HSC for the open-category and 40% for the reserved-category. Some institutions may also require passing an entrance examination.

Career opportunities include roles such as AI Research Assistant, Junior Machine Learning Engineer, Data Scientist, and AI Developer. Mid-level roles include Machine Learning Engineer and AI Solutions Architect, while senior positions include AI Lead and Chief Data Scientist.

Assessment methods include written exams, practical labs, project work, and internships. Students are evaluated based on their understanding of AI concepts and their ability to apply these concepts to real-world problems.

Beneficial certifications include Certified Artificial Intelligence Engineer, Certified Data Scientist, and TensorFlow Developer Certificate. These certifications increase expertise and career opportunities in the field of AI.

Skills in machine learning, deep learning, and data science, combined with certifications such as Certified Artificial Intelligence Engineer and TensorFlow Developer Certificate, often lead to higher-paying jobs. Advanced skills in AI tools and technologies also boost earning potential.
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