Computer Science & Engineering (AI & ML)

About Department
The Department of Computer Science and Engineering(Artificial Intelligence & Machine Learning) was established in the year of 2020,with excellent laboratory facilities and dedicated facultywith an annual intake of 120 students. The Department’s main objective is not only make the students excel in theory but also in experimental research through academic projects in various fields.

Artificial intelligence and Machine Learning will impact all segments of daily life by 2025, with applications in a wide range of industries such as healthcare, transportation, insurance, transport and logistics, and customer service. A role in this domain places you on the path to an exciting, evolving career that is predicted to grow sharply into 2025 and beyond.

What you achieve through AI & ML
*Develop expertise in popular AI & ML technologies and problem-solving methodologies

*Develop expertise in popular AI & ML technologies and problem-solving methodologies

*Learn to use popular AI & ML technologies like Python, Tensorflow, Jupiter Notebook etc., to develop applications

Skills Gained
The world has been evolving rapidly with technological advancements, so the demand for AI &ML engineers is also Increasing.

• Intelligent thinking

• Applied Math and algorithms

• Neural Network architectures

• Programming Languages

• Linear Algebra, Calculus & statistics

• Signal processing techniques

To acknowledge quality education and instill high patterns of discipline making the students technologically superior and ethically strong which involves the improvement in the quality of life in human race.

To prepare Computer Science and Engineering graduates to be a lifelong learner with competence in basic science & engineering and professional core, multidisciplinary areas, with continuous update of the syllabus, so that they can succeed in industry as an individual and as a team or to pursue higher studies or to become an entrepreneur.


Dr. N. Chandra Mouli
Assoc.Professor &HOD

Mobile: +91 – 9849750204


It is a great privilege for me to be part of the Vaageswari College of Engineering. Welcome all the students & their parents to the Department of Computer Science and Engineering. Department of Computer Science & Engineering commits to work towards developing Engineers with a rich blend of competent, technical, managerial and social skills and contribute to nation building. Our Department has produced hundreds of professionals and has established a name for itself in the country and abroad. To meet the objectives, department focus special emphasis on teaching and hands on practical work. The excellent infrastructure, teaching faculty of the best kind of the Department ensuring quality education such as interaction among students, parents and staff, along with a Training and Placement Cell ensures a bright future to the students. I invite you to be part of our efforts as we propel the department of Computer Science & Engineering to ever-greater heights. I congratulate to the team of faculty members and the students for their brilliant and original efforts.

Dr.Chandramouli Narsingoju

Dr.Chandramouli Narsingoju

Associate Professor


Telangana Academy for Skills and Knowledge was established by the Government of Telangana to enable a platform between Government, Academia and Industry to enhance employability quotient of students in the state.

Vaageswari college of Engineering has MoU with Telangana Academy for Skill and Knowledge. This promotes to support for conducting workshops, internships & training programs to enhance student’s technical skills. Thus, improving the success rate of employability

ICT academy

* Faculty Development programmes

* Training Programs

* Skill Development Initiatives

* Research

* Industry - Institute Interaction

* Nurturing Innovation


1 Dr.D.Srinivas Reddy Professor 21 Years PhD

Soft Computing, Machine Learning, MANETs, AI,Cryptograpy

2 Mr. K. Santhosh Assistant Professor 2 Years M.TECH

Image Processing

3 Mrs. A. Soujanya Assistant Professor 3 Years M.TECH

Information Security

4 Mr. S.Satheesh Reddy Assistant Professor 9 Years M.TECH

Block Chain Technologies

5 Mrs. Yasmeen Sulthana Assistant Professor 8 Years M.TECH

Machine Leaning

6 E MANASA Assistant Professor 4 Years M.TECH

Natural Language Processing

Computer Science & Engineering (AI & ML)

B.Tech CSE

  • Duration: 4 years (8 SEMESTERS)
  • Intake: 60
  • Eligibility Criteria:

    Admissions to regular B.Tech programmes are made based on the rank secured in Engineering, Agriculture & Medicine common entrance test (EAMCET) conducted by Telengana State Council of Higher Education, Hyderabad. Three year diploma holders, with engineering common entrance test (ECET) ranking are eligible for admission into B.Tech Programmes.

Programming for Problem Solving Lab

Data structures lab

Python Programming Lab

Operating Systems lab

Data Base Management lab

Java Programming lab


B-Tech - Academic Year 2020-21 (II Year) Click here to download Pdf

B-Tech - Academic Year 2020-21 ( I Year) Click here to download Pdf

Faculty Achievements
List of Faculty Registered for Ph.D Degree in 2018


Achievements PDF

Programe Outcomes

PO 1

Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals and engineering specialization to the solution of complex engineering problems.

PO 2

Problem analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences.

PO 3

Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, cultural, societal and environmental considerations.

PO 4

Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data and synthesis of the information to provide valid conclusions.

PO 5

Modern tool usage: Create, select, apply appropriate techniques, resources, modern engineering, IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

PO 6

The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal, cultural issues and consequent responsibilities relevant to the professional engineering practice


We have program educational objectives for our Civil Engineering Program. Program educational objectives are broad statements that describe the career and professional accomplishments that the program is preparing graduates to achieve.


Graduates will adopt to the modern engineering tools for planning, design, execution and maintenance of works with sustainable development in their profession.


Graduates will exhibit professionalism, ethical attitude, communication and managerial skills, team work and social responsibility in their profession and adapt to current trends by engaging in lifelong learning.


Excel in their professional career and higher education in their related fiel


Exhibit professionalism through leadership, communication skills and team work.


Adapt to emerging trends for sustained growth and exhibit social responsibility and professional ethics.



Graduates will have an ability to design components of diverse civil structures like buildings, roads, bridges, hydraulic structures etc.,


Graduates will have an ability to understand the materials and processes involved in various domains of civil engineering.