Computer Science And Engineering AI & ML
The Department of Computer Science and Engineering (Artificial Intelligence & Machine Learning) was established in the academic year 2020, in response to the rising demand for AI-driven technologies and industry-ready engineers. Since its inception, the department has focused on delivering cutting-edge education by integrating core computer science fundamentals with specialized areas such as artificial intelligence, machine learning, and data science. The program is designed to provide students with a strong theoretical foundation along with practical, hands-on experience through advanced laboratories, real-world project-based learning, and industry collaborations that keep them aligned with current and emerging technological trends.
What sets our department apart is its future-oriented curriculum, which includes key focus areas like deep learning, computer vision, natural language processing, and data analytics. Our experienced and passionate faculty, comprising both academicians and industry professionals, mentor students not only in academics but also in research and competitive platforms. We foster a strong culture of innovation by encouraging students to take part in capstone projects, research publications, and national-level hackathons. Despite being a relatively new department, our students have already made their mark through internships and placements in reputed companies such as TCS, Godrej Capital, and Sogolytics. Notably, two students from our very first graduating batch secured a package of 12 LPA at Godrej Capital, setting a high benchmark for future cohorts.
Years of Academic Excellence
Faculty Experienced Educators
Alumni Global Network
Placement Success Rate
Computer Science And Engineering AI & ML
Dr.Irfan Landge
Head of Department
Since the inception of the Computer Science & Engineering (Artificial Intelligence & Machine Learning) Department in July 2020, it has been committed to fostering academic excellence, innovation, and research in the fields of Artificial Intelligence and Machine Learning. With an initial intake of 60 talented students, we embarked on a journey to nurture future leaders and innovators in this dynamic domain.
One of our department's most significant assets lies in our exceptional faculty members who bring a wealth of expertise and dedication to the table. Their relentless commitment to academic excellence has been pivotal in shaping the academic and research landscape of our department. I am proud to share that we boast a team of dedicated educators and researchers who continually strive for excellence.
Moreover, our department is equipped with state-of-the-art facilities to facilitate cutting-edge research and learning experiences. From i7 computers installed with the latest software to robust servers and fast internet connections, we provide our students and faculty members with the necessary tools and resources to thrive in a dynamic academic environment.
Several of our faculty members are actively engaged in groundbreaking research endeavors, with five of them currently pursuing Ph.D. degrees in Computer Engineering. Their contributions to the academic community are invaluable and serve as a testament to our department's commitment to advancing knowledge and innovation.
Two of our students have been appointed as Microsoft Student Ambassadors, a testament to their exceptional skills and dedication to technological innovation.
Additionally, our students have actively participated in numerous hackathons and national-level competitions, where they have showcased their talents and brought home accolades. Their achievements not only reflect their dedication but also underscore the robust academic and extracurricular support provided by our department. Many of Our students got placed in on-campus recruitments in reputed companies like LTI, TCS, and Cognizant etc. Our department produces excellent results every year with many students achieving a perfect 10 pointer under CBCGS scheme.
As we continue to chart new horizons and embrace emerging technologies, we remain steadfast in our commitment to excellence, innovation, and collaboration. Together, we will continue to inspire and empower the next generation of leaders in Artificial Intelligence and Machine Learning
Our Vision
To impart the value based technical education using modern tools and techniques to pursue excellence in professional field and to promote national integration.
Our Mission
- To create competent professionals in the field of computer science engineering.
- To promote research based education in the field of Artificial Intelligence and Machine Learning
- To meet challenges of modern industry & society.
- To make students socially responsible to aid national integrity
Program Educational Objectives (PEOs)
- PEO1 : To educate students to be specialist in Artificial Intelligence & Machine Learning to meet the Universal growing demands in various fields like health care, economics, robotics, stock market, image processing, identification of spam & non spam emails, cybercrime, preventive computer attacks etc.
- PEO2 : To develop capability in students to innovate & develop new products for the benefit of the society.
- PEO3 : To cultivate managerial skills and team work
- PEO4 :To develop ethics & social responsibility among students to become responsible citizen of nation.
Program Specific Outcomes (PSOs)
- PSO1 : Enhance understanding of technological advancements pertinent to AI and ML to proficiently analyze and design a wide array of applications within the computer science and engineering domain
- PSO2 : Apply advanced algorithms and techniques in AI, ML, DL, and NLP to develop innovative solutions for real-world problems across various domains
- PSO3 : Continuously engage in professional development activities to stay abreast of emerging trends, tools, and techniques in AI, ML, DL, and NLP, fostering a culture of lifelong learning and adaptability.
Digital Electronics & Microprocessor Lab
Location: L1-B
Hardware: HP Desk top Pro 280G core i7, 8th Generation, 8 GB DDR, 1 TB sata HDD 19.5" Screen
Software: Windows 10, Pspice software, Microsoft office 365
Network: LAN
Cryptography & Network Security Lab
Location: L2
Hardware: HP Desk top Pro 280G core i7, 8th Generation, 8 GB DDR, 1 TB sata HDD 19.5" Screen, Dell vostro 3471, core i5 , 9th generation, 8 GB Ram, 1 TB Sata HDD, 19.5' LED Screen, HP Laser Jet Printer Model 2035, HP M 104 A Laser Jet B/W Printer
Software: Windows 10, VM box, Anaconda Navigator, code blocks
Network: LAN
Artificial Intelligence & Machine Learning lab
Location: L3
Hardware: Think Centre - M72E, (Core i3 - 3220, 3.3GHz, 3MB Cache) 4GB RAM, 500 GB HDD SATA, 7200 RPM, DVD drives, 18.5" LED/TFT, DOF(09 nos), i7 and i5 systems(38 nos)
Software: Windows 10, Anaconda Navigator, R studio, TASM
Network: LAN
Analysis of Algorithm lab
Location: L4
Hardware: Dell vostro 3471, core i5, 9th generation, 8 GB Ram, 1 TB Sata HDD, 19.5' LED Screen(8 nos), LENOVO THINKCENTER M57,9439 DP2 CORE 2 DUO, 2.66,GHZ, 1GB RAM, 160GB HDD(16 nos), HP Laser Jet Printer Model 2014
Software: Windows 10, Ubuntu 20.04, Turbo C, Code blocks
Network: LAN
Data science Lab
Location: CBL5
Hardware: Think Centre - M72E, (Core i3 - 3220, 3.3GHz, 3MB Cache) 4GB RAM, 500 GB HDD SATA, 7200 RPM, DVD drives, 18.5" LED/TFT, DOF(18 nos), Laser Jet Pro, P1606DN
Software: Windows 10, Ubuntu 20.04, Turbo C, Code blocks
Network: LAN
Project Development Lab
Location: CBL6
Hardware: Lenovo Edge M-73 core i3, 2GB RAM, DDR2, HDD 500 GB SATA(10 Nos), Laser Jet Pro, P1606DN, HP M 104 A Laser Jet B/W Printer.
Software: Windows 10, Anaconda Navigator, Turbo C, Code blocks
Network: LAN
Higher Studies Data For Passed Out Students
Placement Summary (In Progress)
Academic Year: 2024-25
| Sr. No | Branch | Eligible Students | Total Placed | Percentage of Placed Students |
|---|---|---|---|---|
| 1 | CSE-AIML | 59 | 05 | 8.47% |
| Sr. No | Branch | Enrollment No. | Name of the Student | Name of the Company | Gender | CTC per Annum (in Lacs) |
|---|---|---|---|---|---|---|
| 1 | CSE-AIML | AIML-2502 | Mohd Owaish Ansari | Sogolytics | M | 4 |
| 2 | CSE-AIML | AIML-2523 | Khan Sana Khanum | Sogolytics | F | 4 |
| 3 | CSE-AIML | AIML-2528 | Mohammed Aqeel Memon | Sogolytics | M | 4 |
| 4 | CSE-AIML | AIML-2504 | Suzaan Salim Khan | Centricity WealthTech | M | 3 |
| 5 | CSE-AIML | AIML-2503 | Shaikh Bushra Suhail Ahmed | Probus Insurance Broker Pvt Ltd | F | 3.5 |
Academic Year: 2024-25
| Sr. No | Branch | Eligible Students | Total Placed | Percentage of Placed Students |
|---|---|---|---|---|
| 1 | CSE-AIML | 59 | 05 | 8.47% |
| Sr. No | Branch | Enrollment No. | Name of the Student | Name of the Company | Gender | CTC per Annum (in Lacs) |
|---|---|---|---|---|---|---|
| 1 | CSE | AI-2402 | Md Yasier Ansari | Godrej Capital | M | 12 |
| 2 | CSE | AI-2440 | Miyaji Naqiyah Khojema | Godrej Capital | F | 12 |
| 3 | CSE | AI-2418 | Burhanuddin Abizer | Sogolytics | M | 5 |
| 4 | CSE | AI-2457 | Ali Imam Iftakhar Ahmed | Mindmatrix | M | 4.32 |
| 5 | CSE | AI-2411 | Neha Anand Sawant | Mindmatrix | F | 4.32 |
Internship Data
| Sr. No | Students Name | No. of Students | Class | Industry Worked With | Duration | Status |
|---|---|---|---|---|---|---|
| 1 | Mohammad Raza | 01 | BE | MultiPai AI, USA | 6 Months Paid | In progress |
| 2 | Ansari Tuba Sultana Mohammed Shuaeb, Aaliyah Javed Shaikh, Shaikh Muhammed Hassaan, Mohsini Mohammed Saifuddin |
04 | BE | General Technologies India Pvt. Ltd. | 3 Months | In progress |
| Sr. No | Students Name | No. of Students | Class | Industry Worked With | Duration | Status |
|---|---|---|---|---|---|---|
| 1 | Gavande Rahil Hussain, Shaikh Adeeba, Mubashir Tanwar | 3 | S.E SEM-IV | National Informatics Center, Mantralaya, Mumbai | 3 Months (June 2023 to August 2023) | Completed |
| 2 | Shaikh Adeeba, Mubashir Tanwar | 2 | T.E SEM VI | National Informatics Center, Mantralaya, Mumbai | 3 Months (During Sem VI) | Completed |
