Computer Science & Engineering – Anand Engineering College
FAQ Title #1
Lorem ipsum dolor sit amet consecte tur adipiscing elit sed do eiu smod tempor incididunt ut labore.
FAQ Title #2
Lorem ipsum dolor sit amet consecte tur adipiscing elit sed do eiu smod tempor incididunt ut labore.

Computer Science & Engineering

Computer Science & Engineering

Let's win together

Please feel free to contact us. We will get back to you with 1-2 business days. Or just call us now.


Computer Science is the study of processing the data and instructions as well as how data and instructions are stored, communicated by computing devices. As compared to electrical and computer engineers mostly deal with theory, design, development and application of software and software system. Principal areas of study within Computer Science include artificial intelligence, computer systems and networks, security, database systems, human computer interaction, vision and graphics, numerical analysis, programming languages, software engineering, bioinformatics and theory of computing.


CSE Department was established in 1996 with intake of 60 students. Department upgraded itself by increasing its intake to 90 in 2003 and then to 120 in 2006. Department gets its first NBA accreditation in 2003.It has well equipped laboratories such as Computer Graphics Lab,DBMS Lab, Computer Network Lab, C & C ++ Lab, Image Processing Lab, JAVA Lab, .Net Lab, Project Lab and Excellent Departmental Library. It has a mixture of young, energetic, experienced and qualified faculty members to impart knowledge in the area of Automated Theory of Computation, Design and Analysis of Algorithm, Database Management Sustem, Microprocessor, Digital Logic Design, Computer Architecture, Distributed System, Object Oriented Technology and Digital Image Processing. To provide high quality technical education to the students and improving their skills through ICT based teaching-learning process so that their employability is enhanced. To develop linkage with industry to achieve excellence in research and consultancy practices. Vision of the Department is to become a centre of excellence in the Computer Science & Engineering discipline with a strong research and teaching environment that adopts swiftly to the challenges of the upcoming century.


  • To provide student graduates with a sound knowledge in computer science and engineering fundamentals and to develop professional competency.
  • To prepare student graduates for a successful career with excellent Communication skill, excellent aptitude, problem analysis skill, Design & Development of software, and Individual & team work with values that meet the diversified needs of industry, academia and research.
  • To train students in Investigation of Complex Problem, Analysing, Modern tool usage to study, designing and creating novel software and technologies that provide solution frameworks to real world problems.
  • To promote awareness among student graduates towards issues of social relevance, Environment & sustainability and introduce them to professional ethics and practice.


  • An ability to apply knowledge of mathematics, science, and engineering
  • An ability to design and conduct experiments, as well as to analyze and interpret data
  • An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability
  • An ability to function on multi-disciplinary teams
  • An ability to identify, formulate and solve engineering problems
  • An understanding of professional and ethical responsibility
  • An ability to communicate effectively
  • The broad education necessary to understand the impact of engineering solutions in a global, economic, and societal context
  • Recognition of the need for, and an ability to engage in life-long learning.
  • An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice

HOD Message

The department gives exposure to its students, to not only the regular Engineering curriculum but also to the aspirations of today’s corporate world, by inculcating a professional attitude in them. Our labs give our students a cutting edge in technical exploration and enhance their information search and analysis skills. The project which is an important part of their curriculum, not only gives them a chance to understand and explore their area of interest, but it will be an important aspect of their contribution to the company they would join after the degree. Students are encouraged to join various technical and non-technical forums, which in turn gives them horizontal exposure to Engineering concepts and technology. I am confident that the students of the present batches would justify the credibility of the department by showing a high level of professional competence in their respective job area.

Associate Professor and HOD

Faculty and Staff



  • B.Tech in Computer Science And Engineering
  • B.Tech in Computer Science And Engineering (Data Science)

B.Tech in Data Science is a new, exponentially growing field which consists of a set of tools and techniques used to extract useful information from data. The programme encompasses data Science as an interdisciplinary, problem-solving oriented subject that learns to apply scientific techniques to practical problems. The course curriculum involves a blend of data inference, algorithm development, and technology to analytically solve complex problems. The programme imparts a confluence of skills in three major areas of mathematical expertise, technology hacking skills and business strategy and acumen. The core of this programme is the ultimate use of enormous data in creative ways to generate business value. Hidden insights are brought to the fore to enable companies to make smarter business decisions. Data Science programme orients on practical classes and self-study during the preparation of datasets and programming of data analysis tasks. The demand for Data Scientists exceeding the supply is a severe problem in the data-driven world we are living in today. As a result, most organizations are willing to pay high salaries for professionals with appropriate Data Science skills.

Here are the reasons take up data science course

  • Countless Job Opportunities
  • High Salary
  • Growing Demand
  •  Multi-industry opportunities
  • Flexible Learning
  • Centre of Decision Making
  • Business Optimization
  • Gaining Knowledge about Cutting-Edge Technology
  • Future Focused Career

The first step in getting trained as a data scientist is to enroll in a data science course that can teach you everything you need to know to succeed in the field – from the fundamentals to advanced skills.

This programme is for students who wish to learn about advanced data analytic methods that are currently available on the market. The programme focuses on the development of skills and an understanding of how to properly use available data to gain superior insights. The programme will concentrate on the models, tools, and procedures for analyzing data from a range of sources.

A profession in a field that is always evolving, with an almost limitless range of data generation, gathering, processing, and analysis. Financial stability, the ability to relocate, and the opportunity to learn for the rest of one’s life are just a few of the benefits that make this programme an excellent choice for computer science enthusiasts. Successful graduates of the programme will have access to a variety of career opportunities. The course’s successful graduates are offered a preliminary average compensation of INR 5 to 8 Lacs. After completing the course, students might find work in both the commercial and public sectors.

Career Options and Job Prospects: 

  1. Data Architect and Administrators

Visualizers of the data management framework for the entire organization, data architects work closely with data engineers. They primarily work on understanding enterprise strategy and data that needs to be collected. They then create new database systems or enhance the performance of existing systems. Additionally, data architects design the flows and processes for data management and data engineers build the infrastructure. The U.S. Bureau of Labor Statistics projects up to 180,000 jobs for database administrators and architects by the year 2030.

  1. Data Engineer 

Data engineers are experts at accessing, and moreover, processing vast amounts of real-time data. Vital to technology-driven companies and tech departments, they interpret unformatted and unverified data. Thus, daily tasks include maintenance of high data volumes as well as creating data pipelines to make data accessible for further analysis with the data teams. Data engineers set up the infrastructure using programming languages (Python) and advanced SQL, NoSQL.

  1. Data Analyst 

Most data scientists start as data analysts and data engineers at the beginning of their careers. Data analysts work directly with raw data collected through the systems. This also means they work with various teams like marketing, sales, customer support, and finance to process information.

  1. Data Scientist 

Data Scientists go beyond analyzing big data to address real-world business problems. The C-Suite relies on data scientists to provide trends, patterns across data and offer actionable insights and strategies that can affect the bottom line. Their insights have a direct impact on strategic business decisions.

  1. Machine Learning Engineer 

A Machine Learning Engineer is a unique combination of software engineering and data science that works with big data daily. In a large consumer-facing setup both roles work together but may have independent responsibilities. Data scientists are expected to be machine learning experts with advanced software programming skills. ML Engineers develop software, ML models, and artificial intelligence (AI) systems to drive various processes for the organization.

  1. Statisticians and Mathematicians

Prominently working in the government, healthcare, and research and development organizations, statisticians identify trends that advise decision-making and policies in organizations. Mathematicians and statisticians interpret large volumes of numerical data and design research surveys, develop mathematical models to collect data as well as report findings.

  1. Business IT Analyst 

Strategists at heart and analysts by mind, a business analyst evaluate a company’s processes and analyses industry trends and markets. Business analysts process enormous amounts of data and scout opportunities to improve business revenue ad growth. Common job titles held are business intelligence (BI) developers and business consultants.

  1. Marketing Analyst

Identifying shifting consumer behaviors and examining new buying trends as well as analyzing the digital universe for a business is all the excellence of a market analyst. With most businesses selling digitally, marketing analysts access large amounts of data across various platforms and devices to create strong go-to-market strategies and evaluate marketing campaigns.

  1. Clinical Data Managers

Clinical data managers unite healthcare training with mathematics, programming, computer science, and statistics. Similar to the other fields, data collection to data governance and data integrity across clinical trials and research, clinical data managers actively assimilate, analyze and predict medical industry trends.

 With a B.Tech degree in Data Science, a candidate can get hired as a – 

  • Data Science Consultant
  • Data Engineers
  • Data Architects
  • Data Technologies Specialist
  • Financial Modeler
  • Data Ecologists
  • Data Visualizers
  • Clinical and Pharmaceutical Analyst



Academic Activities


Student Clubs

Technical Society Dynamic Coder

Every student wants to master some extra- ordinary skills or to prepare for a Competitive Exam. To fulfil this wish a parallel learning program is introduced via initiation of three societies namely:-

  1. CODING SOCIETY :- To enhance coding skills of students by giving them problems asked in technical exams of big corporate.
  2. WEB DEVELOPMENT SOCIETY :- To get updated with amazing facts of Web Development and to master it with the help of College teachers.
  3. GATE SOCIETY :- To prepare for GATE Examination by parallel learning through which students can try to solve problems of each other.

These societies run in last lecture on Monday, Tuesday, and Thursday for CSE third year students with approx 70 students.

Basically the motive of these societies is to make students learn that much in College hours so that they can perform outstanding in placements and Competitive Exams. These societies organize competitions after each month and Alumni interaction programs to prepare path for fulfilling the dreams of students.

Dynamic Coders is a Computer Science club of HCST which organize workshops, hosts events and tests. It works to promote healthy competition and teach online coding, problem solving skills.

It has approx 40 students from all year of CSE and has classes on three days per week before starting time of College. Their motive is to make everyone ready for company placements and make them know the prerequisites for getting placed in big companies.


Admission OPEN 2024 - Sharda University Agra