B.Tech. in Computer Science and Engineering (AI & ML) 

at IILM University, Gurgaon

IILM University Gurgaon considers CUET score for admission to BTech course. Besides, qualifying the entrance exam, candidates also need to fulfil the eligibility criteria. Aspirants who have passed Class 12 with Physics and Mathematics as core subjects are eligible for admission. Once the selection is done, shortlisted candidates need to pay course fee to confirm their seat in the university.

Candidates need to complete Class 12 with Mathematics and Physics as core subjects to apply for IILM University Gurugram BTech programme. Aspirants must hold the documents proving their eligibility for verification at the time of admission. Besides, candidates must also qualify CUET or meet the merit requirements for admission.

The programme objectives of a B.Tech (Computer Science and Engineering) at IILM University, Gurugram, typically include:

1. Providing students with a strong foundation in computer Science principles, theories, and practices.
2. Equipping students with the necessary skills to design, develop, and implement computer-based solutions to complex engineering problems.
3. Offering specialised knowledge and training in emerging areas of computer science, such as artificial intelligence, machine learning, cloud computing, cyber security, and data science.
4. Fostering critical thinking, problem-solving, and analytical skills among students to address real-world challenges in the field of computer Science and engineering.
5. Encouraging innovation, creativity, and entrepreneurship in leveraging technology to drive societal and economic development.
6. Preparing students for successful careers in diverse industries, research organizations, academia, or entrepreneurship ventures related to computer Science and engineering.
7. Providing opportunities for practical learning, research, and industry exposure through internships, projects, and collaborations with industry partners.
8. Instilling ethical and professional values, as well as a commitment to lifelong learning and continuous professional development, among students.
9. Cultivating effective communication, teamwork, and leadership skills to enable students to collaborate effectively in multidisciplinary teams and communicate technical concepts to diverse audiences.
10. Promoting a holistic approach to education that integrates theoretical knowledge with practical skills, experiential learning, and a global perspective to produce well-rounded and socially responsible computer Science and engineering professionals.

The placement scenario at the institution is robust, with a commendable percentage ranging from 85% to 95%. This reflects the efficacy of the academic programs and the preparedness of students for the professional realm. The diverse array of opportunities provided by the institution allows a substantial portion of the graduating class to secure placements.

Prominent players in the recruitment landscape, including Infosys, Wipro, and TCS, consistently participate in the placement drives. These industry giants serve as pillars of employment, offering a wide spectrum of job profiles to the aspiring graduates. The collaborative efforts between the institution and these top companies create an environment conducive to successful placements.

The recruitment process is a testament to the alignment between the curriculum and industry requirements. Students undergo rigorous training and skill development, ensuring they are well-equipped to meet the dynamic demands of the corporate world. The emphasis on practical knowledge and industry-relevant skills enhances the employability quotient of the graduates.

Furthermore, the institution fosters a proactive approach to career guidance and placement support. This includes organizing workshops, mock interviews, and resume-building sessions to hone the students' professional acumen. The proactive engagement with industry experts and alumni networks contributes to the holistic development of the students and enhances their prospects in the job market.

In conclusion, the institution's robust placement ecosystem, coupled with its association with key players in the industry, positions it as a nurturing ground for budding professionals, fostering a high placement percentage and opening avenues for a successful transition from academia to the professional realm.

As of now the University has released the MBA placement statistics for 2021-23 batch. Check the complete insights related to IILM University placements 2023 from the table below:

IILM University Gurugram offers admission to courses either based on merit or entrance exam score. IILM Gurugram selects candidates for courses such as BTech, MBA, BA LLB, BBA LLB based on entrance exam scores. CUET-UG score is accepted for admission to BA LLB, BBA LLB, and some other UG courses. The university also accepts CUET-PG scores for MBA, LLM and MA.

For other courses, merit in the last qualifying exam is considered for admission. The university may also conduct personal interview round for admission to a few programmes.

Admission to IILM Gurugram requires candidates to follow some steps. Aspirants must first check the eligibility requirements to register for a course. Once registration is done, aspirants must also fulfil the selection criteria. For courses such as BTech, MBA, BA LLB (Hons) and BBA LLB (Hons), entrance exam is required for admission. CLAT is accepted for BA LLB (Hons) and BBA LLB (Hons) programmes. CUET-PG and other Management entrance exam is accepted for MBA admission. 

As per the latest report, the highest package offered to the 2023 MBA batch was INR 12 LPA, which was slightly higher than the 2022 highest package. Over the past three years, a fluctuating trend was recorded in the IILM University highest package for MBA, which is depicted below:

The University has disclosed the highest package details for MBA. Take a look at the table below to know the IILM University the highest package trends:

IILM University Gurgaon offers four-year BTech in Computer Science Engineering programme spread across eight semesters. The university offers BTech CSE in multiple specialisations, namely:

• Artificial Intelligence and Machine Learning
• Cloud Computing
• Cyber Security
• Data Science
• Big Data Analytics