Department of Information Technology

About Department

Bachelor of Science in Information Technology [B.Sc(IT)] was introduced by the University of  Mumbai in the year 2001. Our college commenced the course right from its inception and formed the B.Sc(IT) Department(2001) and has since been successfully running the course for 20 years now.
The college also started a full-time MSc Information Technology course from the year 2004.  
Starting from the academic year 2022-23 the Department of Information Technology has introduced the new course MSc Data Science.

Taking into account the current trend, the department has introduced two add-on courses: Basic Data Science, Descriptive Statistics using Python

 The Department of Information Technology has always worked towards securing Campus Recruitment for students. In accordance to that, the students have participated in numerous Pool  Campus Drive programs conducted across different colleges through out the years. Quite a few of our students are placed in renowned companies like Capgemini, L & T Infotech, Wipro, TCS, and Infosys.

About B.Sc. IT

B.Sc. IT Eligibility Criteria

1. Applicant should have passed Class Twelve from a recognized board

  • Applicant from Maharashtra Board is eligible

  • If the applicant is from another board, and Eligibility certificate issued by the Eligibility Section of the University of Mumbai is necessary

  • An applicant who has completed Class Twelve with Science and Commerce are eligible.

  • Note: The candidate must have Mathematics as a subject in Class Twelve.

2. An applicant must have a minimum of 45% marks aggregate (open) and 40% marks aggregate (for reserved category)

3. Students with post H.S.C. – Diploma in Computer Engineering / Computer Science / Computer Technology / Information Technology and allied branches of IT will be eligible for direct admission to the Second Year of B.Sc. (IT).

Note: Diploma should be recognized by the Board of Technical Education or any other recognized Government body.

FYBSc IT
SEMESTER I SEMESTER II
Imperative Programming Object Oriented Programming
Digital Electronics Microprocessor Architecture
Web Programming Operating Systems
Discrete Mathematics Numerical And Statistical Methods
Communication Skills Green Computing

SYBSc IT
SEMESTER III SEMESTER IV
Python Programming Core Java
Data Structures Embedded Systems
Computer Networks Computer Oriented Statistical Techniques
Database Management Systems Software Engineering
Applied Mathematics Computer Graphics And Animation

TYBSc IT
SEMESTER V SEMESTER VI
Software Project Management Software Quality Assurance
Internet of Things Security In Computing
Advanced Web Programming Business Intelligence
Enterprise Java Principles of Geographic Information Systems
Artificial Intelligence Cyber Law

About M.Sc. IT

M.Sc. IT Eligibility Criteria

Applicant should have any one of the following degree from University of Mumbai or any other recognized University with minimum 45 percent of marks with Mathematics as one of the subjects at 10+ 02 or equivalent examination.:

B.Sc. Degree in Information Technology/ Computer Science/ Physics/ Statistics/ Mathematics/ Electronics
                                                          OR

BCS/ B.E. Degree in any branch 

          

MSc IT - Part I
SEMESTER I SEMESTER II
Research In Computing Big Data Analytics
Data Science Modern Networking
Cloud Computing Microservice Architecture
Soft Computing Image Processing
MSc IT - Part II
SEMESTER III SEMESTER IV
Applied Artificial Intelligence Blockchain
Machine Learning Natural Language Processing
Robotic Process Automation Deep Learning
Technical Writing Human Computer Interaction


About M.Sc. Data Science

M.Sc. Data Science Eligibility Criteria

Applicant should have any one of the following degree from University of Mumbai or any other recognized University with minimum 45 percent of marks with Mathematics as one of the subjects at 10+ 02 or equivalent examination.:

B.Sc. Degree in Information Technology/ Computer Science/ Physics/ Statistics/ Mathematics/ Electronics
                                                          OR

BCS/ B.E. Degree in any allied branch 

          

MSc Data Science - Part I
SEMESTER I SEMESTER II
Research Methodology Big Data Analytics
Data Science Foundation: Data Structures and Analysis of Algorithms Data Visualization
Data Management for Data Science Tools for Data Science: Python and R
Mathematical and Statistical Foundation for Data Science  Soft Computing Techniques 

MSc Data Science - Part II Subjects to be updated soon

Faculties

Subhash Bansode

Subhash Bansode

Assistant Professor

view details
Sumedha Barve

Sumedha Barve

Assistant Professor, IT Co-Ordinator

view details
Larissa Pegado

Larissa Pegado

Assistant Professor

view details
Tanvi Nerurkar

Tanvi Nerurkar

Assistant Professor

view details
Chetna Suthar

Chetna Suthar

Assistant Professor

view details
Vishakha Gokhale

Vishakha Gokhale

Lecturer

view details


Photo Gallery


Events Gallery