Army Institute of Technology

Permanently Affiliated to Savitribai Phule Pune University, Autonomous College from AY 2025-26, NBA Accreditation (All UG Programs), NAAC Accredited

Army Institute of Technology Logo
AWES Logo
Army Institute of Technology Logo

Army Institute of Technology

Permanently Affiliated to Savitribai Phule Pune University, Autonomous College from AY 2025-26, NBA Accreditation (All UG Programs), NAAC Accredited

AWES Logo

Computer Engineering

MTech(Data Science) | Duration: 2 years | Intake: 24 seats

About Department

Vision

To provide best quality education and research facilities to the wards of army personnel to produce globally competent computer engineering graduates.

Mission
  • M1. To provide state of the art infrastructure to the wards of army personnel to produce total quality computer engineer
  • M2. To create an environment which can promote the culture of research, innovation, creative, thinking, and higher studies
  • M3. To collaborate with industry fraternity to create entrepreneurs and technology leaders who are committed towards sustainable development of information society
The Program Educational Objectives (PEOs)
  • PEO1. Graduates of the program will be employed in industry, government and entrepreneurial endeavors to have a successful professional career.
  • PEO2. Graduates of the program will pursue higher education or research
  • PEO3. Graduates of the program utilize the acquired technical skills and knowledge for the benefit of society.
HOD

Prof.(Dr.) S R Dhore

Professor and Head of Dept of Computer Engg 7249250184
(Ext. 2140) hodcomp[at]aitpune[dot]edu[dot]in
Link Icon
Link Icon

HOD's Desk

Welcome to the Department of computer Engineering. Computer science and engineering provides not only the benefits of a well-paying job, but also the intellectual challenges of a creative and productive profession. Department offers bachelor’s degree in Computer Engineeringn and Master degree in Data Science. The department is accredited by NBA for its quality education.

The excellent infrastructure and experienced faculty are dedicated to improving the teaching-learning process and delivering high-quality education. We are especially proud of our Bachelor students' long and consistent placement records in various multinational software industries, Army, PSU.

The department has developed the state-of-art infrastructure, well equipped laboratories, departmental library, classrooms with modern teaching aids. various technical clubs in the department, such as Open-source club, Information security data forensic club, competitive coding club and Augmented reality and Virtual reality club helps the students in building expertise in the technical domains.

Computer engineering department prides itself on its faculty-student interactions with the goal of creating exceptional students who will go out into the world equipped with the tools needed to be extraordinary engineers. Faculty members are readily available to students in the department for coursework, laboratory questions, and academic and project advising. The Computer Engineering department has a team atmosphere dedicated to outstanding research and education, mentoring students, and maintaining a nurturing environment.

We welcome students to be the part of AIT to experience a new journey towards a successful engineering career.

HOD

Dr. Jayadevan R

Associate Professor and PG Coordinator 7249250184
(Ext. 2143) rjayadevan[at]aitpune[dot]edu[dot]in

PG Coordinator’s Desk

We are honored to be a part of your professional story. Welcome to the forefront of the digital revolution!

A Post Graduate Programme in Data Science is more than just an academic milestone; it is a strategic investment. It provides the technical depth to solve complex problems, the business acumen to drive organizational change, and the professional network to sustain a long-term career. In a world drowning in information but starving for wisdom, the postgraduate-trained data scientist acts as the essential navigator, turning raw numbers into the insights that shape our future.

The M. Tech Data Science programme has been meticulously designed in alignment with the National Education Policy 2020. The curriculum aims to provide students with a holistic approach to engineering education, ensuring a strong foundation in core courses and ability enhancement courses. The curriculum also includes components of vocational and skill enhancement courses, value education and co-curricular courses to shape well-rounded engineers who can adapt to global demands.

The M. Tech Data Science programme encourages experiential learning, where theoretical concepts are supported by practical laboratory sessions. It also promotes research and innovation, encouraging students to engage in projects from the early stages of their academic journey. We believe that the curriculum crafted with the essence of the NEP 2020, will equip our students with the necessary skills and knowledge to excel in their future endeavors. We look forward to embarking on this exciting academic journey with you.

Program Outcomes (POs):

  • PO1: Ability to independently carry out research / investigation and development work to solve practical problems.
  • PO2: Ability to write and present a technical report / document.
  • PO3: Students should be able to demonstrate a degree of mastery over the area as per the specialization of the program. The mastery should be at a level higher than the requirements in the appropriate bachelor program.

Program Specific Outcomes (PSOs):

  1. PSO1: Technical: Expertise in acquiring data from diverse sources, cleaning, transforming, and preparing it for analysis. Proficiency in applying statistical methods like hypothesis testing, regression analysis, time series forecasting, and dimensionality reduction. In-depth understanding of supervised and unsupervised learning algorithms and their implementation Strong proficiency in essential data science programming tools and libraries. Familiarity with big data frameworks like Hadoop, Spark, and distributed computing concepts.
  2. PSO2: Problem-Solving: Ability to effectively explore and visualize complex datasets to identify patterns and insights skill to choose the appropriate machine learning models based on problem requirements and evaluate their performance using relevant metrics. Expertise in creating new features from existing data to improve model accuracy. Knowledge of deploying models into production environments and continuously monitoring their performance.
  3. PSO3: Communication and Critical Thinking: Ability to interpret data analysis results and translate complex technical concepts into actionable insights for decision-making. Skill to present data findings in clear, concise, and professional reports for diverse audiences. Awareness of ethical issues related to data collection, privacy, and responsible use of data science techniques.

Salient Features

  • Industry-aligned Curriculum: The syllabus is designed in consultation with industry and academia, covering topics like machine learning, deep learning, big data analytics, data warehousing, data visualization, Tools for Data Science etc.
  • Research & Project Focus: The programmer offers a strong component of independent research enabling publication/Paper writing
  • Hands-on Labs & Infrastructure: Dedicated labs with high-performance computing, access to latest software/tools for data science.
  • Internships / Industry Tie-ups: Opportunities to work in companies or organizations during programme for exposure to real-world data science problems.
  • Electives & Specializations: Flexibility to choose electives like AIDS, Deep Learning, Business Analytics etc.
  • Career & Placement Support: Good support for placements, tie-ups with analytics/IT companies
  • Scholarship / Funding: For GATE qualified students; scholarship is available under AICTE schemes.
  • Technical Clubs : ME-Data Science in collaboration with the Society for Data Science

Infrastructure

  • Laboratories and classroom are equipped with up-to-date hardware, software, and Wi-Fi facility.
  • Research Centre for Doctoral studies (PhD Research Centre of SPPU for Computer Engineering Department.)
  • E-Classroom to facilitate online teaching

Departmental Infrastructure & Laboratories

  • The PG Section is equipped with state of art, ultra-modern and sophisticated programming labs and classrooms with Internet facility.
  • The internet facility with 1 Gbps from national knowledge network (NKN), 500 Mbps from Tata Communication & 500 Mbps from PGCL
  • All modern software tools are available in the Laboratory for experiments
  • CSL Lab VII equipped with 18 PCs used for programming.

Software Available

  • Open-Source software’s (java, python, g++ etc.…)
  • Microsoft Windows 8 and Windows 10
  • Microsoft Office 2010/2016
  • Mongo DB/ MySQL
  • Weka
  • R studio
  • PowerBI
  • Tableau
  • Qlik Sense
  • Google Data Studio

All systems are dual boot. An ultra-modern class-rooms equipped with video projection systems and computer caters for conventional as well as e-learning needs.

Faculty

# Name of Staff Designation Email ID Qualification & Specialization Profile
1 Dr S R Dhore HOD & Professor hodcomp[at]aitpune[dot]edu[dot]in ME (Computer), PhD (Computer Engg)
2 Dr Jayadevan R Associate Professor rjayadevan[at]aitpune[dot]edu[dot]in ME (Computer), PhD (Computer Engg)
3 Ms Poonam Nagale Assistant Professor poonamnagale[at]aitpune[dot]edu[dot]in ME (CSE)
4 Ms Pallavi Edke Assistant Professor pallaviedke[at]aitpune[dot]edu[dot]in ME (CE)

Technical Staff

# Name of Staff Designation Email ID Qualification & Specialization Profile
1 Mr Pramod Patil Lab Assistant pramodpatil[at]aitpune[dot]edu[dot]in Diploma in CSE

Faculty Summary (Academic Year wise)

Students Roll: AY 2025-26

Counselor Name Roll Nos
Ms Pallavi Edke 6101-6121
Roll No Name of the Student
6101 ADITYA CHOUDHARY
6102 AJAY SINGH
6103 AMARDEEP KANDHARE
6104 ANIL UBALE
6105 AVIRAL DIXIT
6106 BHUSHAN BADOLE
6107 JATIN KUMAR
6108 KETAKI KUTE
6109 NEHA
6110 NITIN TANWAR
6111 PRATIKSHA DHOKARE
6112 PRERNA JASWAL
6113 ROHAN MATE
6114 SAMEERA CHAVAN
6115 SIDDHARTH SINGH TANWAR
6116 SONAM THORAT
6117 SUBHADEEP KAR
6118 SUCHETANA JANA
6119 SUMIT KHOKHAR
6120 SUSHIL PANDEY
6121 VIGHNESH NICHAM
Counselor Name Roll Nos
Ms Poonam Nagale 6201-6223
Roll No Name of the Student
6201 AJIT TARADE
6202 AKSHAY LAVHAJI PATIL
6203 AMAN CHANDRA KUMAR
6204 ANURAG CHAUDHARY
6205 BHAVNA SINGH
6206 DEVYANI ANIL KSHIRSAGAR
6207 DHRUV JAYANT TILLU
6208 JATIN RAWAL
6209 MAHESH DASHARATHE
6210 MD ASHRAF
6211 PARWINDER SINGH
6212 POOJA MADHUKAR PATIL
6213 PRADEEP KUMAR BAWASKAR
6214 PRIYANKA RUPCHAND KAMBLE
6215 RAVI SANJIV SHINDE
6216 RISHIKANT MALLICK
6217 SANKET BAGADE
6218 SARAVAKOTA RAVEENDRA
6219 SHUBHAM KULANGE
6220 SUMAN KUMAR SAHU
6221 SUMIT VIKAS PAWAR
6222 THITE PRAVIN BAJIRAO
6223 YASH TULSHIRAM ADAK

Projects

Projects

Mini Projects

Syllabus


PG Academic Master Time Table - Computer Engineering View
2025-26 (Sem I)
2024-25 (Sem II)
2024-25 (Sem I)
2023-24 (Sem II)
2023-24 (Sem I)

  • Workshops on Java, Open GL, .NET, etc.
  • Active participation of students in various activities.
  • Mini projects on Android Application Development and Embedded Systems.

FDP/STTP/Workshop Conducted by Department:

Expert Lectures Conducted by Department:

MOOC Courses Attended By Faculty :

Faculty Development Programs (FDPs)/ Workshops Attended By Faculty :

MOOC Courses Attended By Students :

Achievements of Students:

Seminar

Paper Published by Faculty

Paper Published by Students

Ongoing Research

Grants

Patents

# Academic Year Name of the Organisation Year of Signing Duration View Document

Computer Engineering PG – Placement Details
# Academic Year Number Registered Number Placed Placement % Highest Salary Average Salary
1 2023-24 8 4 50% Rs 8.25 LPA Rs 5.61 LPA
2 2024-25 22 4 30% Rs 12 LPA Rs 8.56 LPA

Image One
Image Two

AIT Topper List

ME Data Science I 2024-25

Rank Name of the Student Percentage
I Yash T. Adak 87.33
II Jatin Rawal 85.58
III Ravi Shinde 83.91

ME Data Science II 2024-25

Rank Name of the Student SGPA
I Sanjeev Kumar Malik 8.64
II Vyavahare Piyusha 8.35
III Sujit Sarkar 8.22

Laboratories (PDF to view)
  • The department is equipped with state of art, ultra-modern and sophisticated programming labs and classrooms with fully updated facility.
  • The department has a well-established LAN of 150 Machines. The ambience and the ergonomic design of the labs enhance students' appetite for acquiring programming skills.
  • The internet facility with 1157 Mbps leased line, Wi-Fi facility is available in campus to students and faculty.

The department has following


Laboratories:
  • CSL Lab I & CSL Lab II equipped with 60 PCs used for programming in C, C++, JAVA, Python, R programming, DBMS, Visual Studio and Android programming
  • CSL Lab III equipped with 25 PCs used for programming in C, C++, JAVA and Visual Studio and cloud computing setup.
  • Hardware Lab (Texas Lab) equipped with 30 PC's, have hardware instruments to conduct hardware practical's. Lab also consists kits of BEGALBONE BLACK to perform mini-projects on embedded system etc.
  • CSL IV equipped with 20 PCs used for programming in C, C++, JAVA programming
  • CSL V equipped with 20 PCs used for programming in C, C++, JAVA programming
  • CSL VI equipped with 05 PCs used for students, Cyber Security Project, BE Project

All systems are dual boot. An ultra-modern classrooms equipped with video projection system and computer caters for conventional as well as e-learning needs.

Software :
  • Open source software’s (java, python, g++, php etc.…)
  • Microsoft Windows 8 and Windows 10
  • Microsoft project
  • Microsoft Office 2013
  • Code Block
  • Visual Studio
  • Oracle 11g
  • Sift/ Caine
  • VMWare
  • Masm/ Nasm
  • Mongo DB/ MySQL
  • QT framework
  • Wireshark/Ethereal and Packet Tracer
  • Raspberry Pi/Arduino Programming
  • Unity, C#, Blender

Industry Institute Interactions

Internship Details

2024-25

Industrial Visits

AAC and Dept Meeting Minutes

AAC Meeting Minutes

Academic Year Month View

Departmental Meeting Minutes

Academic Year Meeting Date View

Achievements/ Messages