B.Tech - CSE in Artificial Intelligence and Machine Learning

Building the Future with Artificial Intelligence & Machine Learning, One Algorithm at a Time

About Course

  • Location - GHRSTU Nagpur
  • Duration -4 years (2 sem per year)
  • Course Type - Full time
  • Affiliated - UGC

B.Tech in Computer Science & Engineering with a specialisation in Artificial Intelligence (AI) and Machine Learning (ML), an innovative program that combines the basic principles of computer science with advanced AI and ML technologies. This course covers programming languages, algorithms, software engineering and data science. It covers various aspects of AI and ML such as neural networks, deep learning, big data analytics, natural language processing (NLP) as well as computer vision using tools like TensorFlow, PyTorch, Hadoop and Spark in depth. The students are provided with hands-on experience in well-equipped laboratories, they work on projects with real-life applications which help them grab internship opportunities with industry partners. The curriculum also focuses on research abilities and managerial skills expected in a graduate to get into top positions like AI Engineer, Machine Learning Scientist, Data Analyst or Software Developer, etc. It ensures high employability as students are trained as per the industry requirements and by providing knowledge relevant to different areas including healthcare, finance and the automobile sector.

Objectives of Program

  • Develop a clear understanding of algorithms, data structures, computer architecture and operating systems, and software engineering principles.
  • English proficiency in primary coding languages like Python, Java, C++, and others and domain-specific languages like R.
  • Master key skills in topics like computer networks, internet protocols, distributed systems and cloud computing.
  • Get a clear understanding of subjects like artificial intelligence, machine learning, quantum computing, blockchain, the Internet of Things (IoT), and AR/VR.

Future in CSE in Artificial Intelligence and Machine Learning

  • The growth rate of the AI and ML industry in India is expected to be 33.49% every year from the year 2021 to 2026.
  • AI and ML sectors have been experiencing heavy investments. Indian-based startups have gained more than $1 billion in 2023.
  • The Indian government is also increasingly supporting AI research and development. There have been many initiatives like the National AI strategy, and the setup of AI research institutes.

Eligibility

  • Candidates must have completed their HSC (12th standard) with qualifications from a recognised board.
  • They should have pursued the science stream, including Physics, Chemistry, and Mathematics as mandatory subjects, achieving a minimum of 45% for open-category students and a minimum of 40% for reserved-category students.
  • They must have qualified for the Maharashtra Common Entrance Test (MHTCET) or Joint Entrance Examination (JEE) with a non-zero positive score.

Study at GHRSTU for a successful future & drive your career in the right direction with our B.Tech in CSE in Artificial Intelligence and Machine Learning Engineering Programs

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Admission Procedure

Registration and Verification:
  • The Centralised Admission Process (CAP) is mandatory for both the CAP and the Institute Level Quota (ILQ) seat categories, and it is necessary to enrol to be considered for a seat in either category.
  • For document verification and scrutiny at the Facilitation Centres/ e-Scrutiny Centres, please follow the guidelines/proceedings of the authority received after online registration.
  • Only those candidates whose applications are verified by the Facilitation Centers/e-Scrutiny Center shall be eligible in the displayed merit list.
A) CAP Round Admission:

Allocation: The admission through CAP rounds makes up 80% of the total number of seats and is done per guidelines provided by the SCET Cell, Government of Maharashtra. Additional information can be obtained from the official website: https://cetcell.mahacet.org/

Form Filling Guide: To read how to fill out this form, please click the following link. Access it here.

B) Institute Level Quota Admission:

The percentile rank of the SCET Cell, MHT-CET or JEE (Main) score determines the merit number for the ILQ of 20 percent while preparing the Institute level merit list (PCML/FCML).

Prerequisite Documents:

Original documents and FOUR sets of attested photocopies are required at the time of admission:

  • CAP Allotment Letter (for candidates allotted seats through CAP Rounds)
  • HSC Marksheet
  • SSC Marksheet
  • CAP Final Merit Number Document
  • Passing Certificate / Board Certificate of Std. 10th / SSC
  • MHT-CET 2023 Score Card
  • JEE (Main) 2023 Score Card
  • Nationality Certificate
  • Domicile Certificate
  • HSC Leaving Certificate
  • Aadhar Card (Photocopy)
  • CAP Allotment Letter (for candidates allotted seats through CAP Rounds)
If Applicable:
  • Caste Certificate with Category
  • Non-Creamy Layer Certificate (valid)
  • Migration Certificate (for boards other than M.S. Board / from RTMNU)
  • Eligibility Certificate (for other than M.S. Board; must be submitted within ten days from the date of admission)
  • Certificates in Proforma A, B, C, D, E, G, J, K, L, U & V, etc.
  • Income Certificate
  • Gap Certificate
  • Three Photographs
  • Caste/Tribe Validity Certificate for SC/ST/OBC/VJ/DT-NT (A/B/C/D)/EWS Categories

Technical Skills that you will learn

  • Programming Languages: Python, Java, C++, R
  • I & ML Tools: TensorFlow, Keras, PyTorch, Scikit-Learn
  • Data Analysis & Visualization: Pandas, NumPy, Matplotlib, Seaborn
  • Databases: SQL, MongoDB, Apache Cassandra
  • Cloud Platforms: AWS, Google Cloud Platform, Microsoft Azure
  • Big Data Technologies: Hadoop, Apache Spark, Apache Kafka
  • Software Development: Agile methodologies, version control with Git, continuous integration/continuous deployment (CI/CD)
  • Specialised Skills: Machine learning algorithms, deep learning, neural networks, natural language processing, computer vision, reinforcement learning

Careers

Job Opportunities
Entry Level:
  • AI/ML Engineer
  • Data Analyst.
  • Software Developer
  • Junior Data Scientist
  • IT Support Specialist
Mid Level:
  • Machine Learning Engineer
  • Data Scientist
  • Software Engineer
  • Systems Analyst
  • DevOps Engineer
Senior Level:
  • Lead AI/ML Engineer
  • Senior Data Scientist
  • IT Manager
  • Solutions Architect
Further Studies Options
  • M.Tech (Master of Technology) in Software Testing and Development, AI and ML, Network Technology, and IT Security.
  • MS (Master of Science) in Computer Science, Data Science, and Cybersecurity.
  • MBA (Master of Business Administration) for management roles in the tech industry.
  • PhD (Doctor of Philosophy) for advanced research and academic careers.
  • Specialised Courses in Robotics, Automation, Renewable Energy, Advanced Manufacturing.

FAQs

What does the qualification include?

The course includes programming languages and fundamental as well as specialised topics. The program offers general programming languages like Python, Java, and C++ among others and specialised training in AI, ML, cybersecurity, data structures, algorithms, software engineering, and data science among others.

The starting salaries of a Computer Science & Engineering B.Tech graduate can vary anywhere between 3.5 to 6 lakhs per annum, and it can go up to around 15 lakhs per annum, based on experience, skills required and the company one is getting employed with.

Some of the general technical competencies that a graduate in this field requires include knowledge in multiple programming languages such as Python, Java, and C++, data structures and algorithms, software development life cycles, machine learning, and cybersecurity.

Candidates should have completed their 12th grade with a focus on mathematics and science. Additionally, they must qualify for entrance exams like JEE Main, MHT-CET, or similar tests as required by the institution.

There are several careers that one can take with a bachelor’s degree for Instance, a graduate can become a Software Developer, Web Developer, Systems Analyst, Data Scientist, Ai Engineer, Machine Learning Engineer, or Cybersecurity Analyst among others, and in various fields ranging from IT, finance, health, and automobiles.

The methods of assessment comprise written examinations, practical assignments, projects, presentations and laboratory works in order to test the understanding of the concepts and the ability to implement them in practice as well.

Highly sought-after certifications include AWS Certified Solutions Architect, Certified Ethical Hacker (CEH), Google Professional Data Engineer, Cisco Certified Network Associate (CCNA), Microsoft Certified: such as Azure Developer Associate and others approved by the industry to take one’s employability to the next level.

Specialisations in machine learning, AI, and programming languages especially Python and Java Specialisation in cloud providers such as Amazon and Microsoft Azure, and cybersecurity also attract higher pay scales in this field.
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