As technology continues to evolve at an unprecedented pace, the demand for professionals skilled in data science has skyrocketed. One field that has witnessed a significant transformation is Computer Science and Engineering (CSE) departments in engineering colleges. With the emergence of data-driven decision making and the increasing importance of big data analytics, CSE departments have incorporated data science as a crucial component of their curriculum.


Data science has emerged as a critical discipline in today’s digital age. It involves extracting actionable insights from vast amounts of structured and unstructured data, enabling organizations to make informed decisions and gain a competitive edge. Industries such as finance, healthcare, marketing, and e-commerce heavily rely on data science to optimize their operations, improve customer experiences, and drive innovation.


With the rapid evolution of technology and the increasing amount of available data, the demand for professionals skilled in data science has grown exponentially. Our CSE (Data Science) department aims to meet this demand by providing a comprehensive curriculum that prepares students with the essential skills and knowledge needed for success in this field.

At the core of our department’s vision is the belief that data is at the heart of innovation and informed decision-making. Our faculty members, who are renowned experts in their respective fields, are committed to imparting the latest methodologies and industry best practices to our students. They continuously engage in research, ensuring that our curriculum remains up-to-date and aligned with current industry requirements.

The department is home to a group of highly skilled and experienced faculty members with knowledge in a variety of subjects. Two of the faculty members have doctorates, and one is currently obtaining a Ph.D. In addition, three faculty members are enrolled in the University of Hyderabad’s Artificial Intelligence and Machine Learning Diploma program.

Duration: 4 years (Regular) / 3 years (Lateral Entrance)

No. of Semesters: 8 (Regular) / 6 (Lateral Entrance)

No. of Seats: Total – 180 (Status of NRI Approval – Yes)

Eligibility: Education is based on the 10+2 system. Student must have passed the subjects of Physics, Chemistry, and Mathematics in the qualifying examination

Scope for Higher Studies: M.E. / M.Tech / M.B.A./ M.S.

The CSE department specializing in Data Science has impressive facilities and a fully equipped computer lab that is tailored to the unique requirements of our data science students. We offer an abundant range of resources, such as advanced computing clusters and access to various datasets, allowing students to gain practical experience and enhance their problem-solving abilities.

The department encourages students to actively participate in research projects and engage in internships with leading organizations. These opportunities provide invaluable experiences and allow students to apply the knowledge they acquire in real-world settings. Additionally, we facilitate workshops, seminars, and guest lectures by industry professionals to bridge the gap between academia and industry, allowing students to expand their network and stay abreast of the latest trends and developments.

Collaboration is a key aspect of our department’s ethos, and we actively foster interdisciplinary partnerships within the institution and with external organizations. This collaborative approach serves to enhance the scope of research and enrich the learning environment, enabling students to tackle complex, real-world problems that require cross-domain expertise.

Graduates from our CSE (Data Science) department are well-positioned for exciting career opportunities in various sectors, including technology, finance, healthcare, and more. Armed with a deep understanding of data analytics, statistical modelling, and machine learning algorithms, our graduates are sought after by industry leaders for their analytical and problem-solving skills.

Finally, our engineering college’s CSE (Data Science) department is an ideal place for ambitious data scientists. Our education program encompasses both theoretical learning and hands-on experience, enabling students to develop expertise in the field of data science. Through top-notch faculty, state-of-the-art facilities, and a collaborative mindset, we empower our students with the necessary resources to make innovative advancements in the continuously evolving realm of data science.


Vision of the Department 

Our objective is to cultivate an unparalleled educational journey that empowers individuals to thrive in their chosen professions. We achieve this by immersing students in a dynamic, interactive learning environment while also offering ample opportunities for research and exploration of real-world applications. Our program strives to produce data science professionals who possess exceptional expertise, enabling them to be catalysts of innovation within the industry.

The Mission of the CSE Data Science Department: 

Empowering the Future of Technology and Innovation

  • At the heart of the CSE Data Science Department’s mission is the goal to develop professionals with a strong understanding of mathematics. By emphasizing subjects such as probability and statistics, linear algebra, and calculus, students are equipped with the necessary tools to analyze and interpret complex data sets. These foundational skills serve as the building blocks for more advanced data science techniques, allowing students to tackle real-world problems with confidence and precision.
  • In addition to a solid mathematical foundation, the department is committed to providing students with an education that keeps pace with the rapidly evolving landscape of AI and data science. By staying abreast of the latest technologies and methodologies, students are exposed to the most cutting-edge tools and techniques in the field. This enables them to adapt to the ever-changing demands of the industry and ensures that they are equipped with the skills necessary to excel in their careers.
  • Quality education and value-based learning are core principles of the CSE Data Science Department. By imparting knowledge that goes beyond mere technical skills, the department aims to foster a sense of innovation and creativity among its students. By encouraging critical thinking and problem-solving abilities, students are empowered to push the boundaries of what is possible in the field of data science. This commitment to excellence not only benefits the individual students but also contributes to the overall satisfaction of all stakeholders involved.
  • The department also recognizes the importance of socially responsive research and innovation. By integrating ethical considerations into the curriculum, students are encouraged to use their skills for the betterment of society. This approach ensures that the impact of data science goes beyond commercial applications and extends into areas such as healthcare, social justice, and sustainability.
  • Moreover, the CSE Data Science Department prides itself on its unwavering commitment to harnessing the cutting-edge innovations in high-performance computing hardware and software. By continuously pushing boundaries and embracing technological breakthroughs, the department empowers researchers with the tools they need to analyze and process large datasets in fields such as data science



  • To introduce the fundamentals of science and engineering concepts essential for a data architect / data scientist.
  • To inculcate the knowledge of mathematical foundations and algorithmic principles for effective problem solving.
  • To provide knowledge in data science for modern computational data analysis and modeling methodologies.
  • To provide the knowledge in artificial intelligence techniquesand apply them to develop relevant models and real time products.
  • To impart knowledge to analyze, design, test and implement the model required for various applications.
  • To hone personality skills, trigger social commitment and inculcate societal responsibilities.


  • PO1: Analyze and build models applying the knowledge of mathematics, statistics,electronic, electrical and computer science discipline and solve the problem.
  • PO2: Identify the sources of information for data collection, design and conduct the experiments and interpret the result.
  • PO3: Think out-of-the box and solve the real time problems using their creativity in designing human friendly software systems.
  • PO4: Comprehend computer engineering concepts of the new research developments and apply them to develop relevant software and hardware products.
  • PO5: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
  • PO6: Apply the computing knowledge to solve the socially relevant problems.
  • PO7: Understand the impact of engineering solutions in global, economic, environmental, societal context and apply it in exploring the new developments, research trends and involve them in research.
  • PO8: Develop professional integrity by understanding and appreciating professional, legal, ethical, cyber security and related issues and act with responsibility.
  • PO9: Communicate, collaborate and work as a team by involving in the group projects of multi-disciplinary nature.
  • PO10: To prepare documents as per the standards and present effectively to improve software documentation skills.
  • PO11: Apply the hardware and software project management techniques to estimate the time and human resources required to complete computer engineering projects.
  • PO12: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change


  •  PSO1: Understand, analyze and develop essential proficiency in the areas related to data science in terms of underlying statistical and computational principles and apply the knowledge to solve practical problems.
  • PSO2: Implement  data science techniques such as search  algorithms, neural networks, machine learning and data analytics for solving a  problem and designing novel algorithms for successful career and entrepreneurship.


  • To equip the students with strong fundamental concepts, analytical capability, programming and problem solving skills.
  • To create an academic environment conducive for higher learning through student training, self learning, sound academic practices and research
  • To make the students industry ready and to enhance their employability through training and internships. To make  students job-ready by applying what you learn and building real-life projects
  • To improve department industry collaboration through interaction including participation in professional society activities, guest lecturers and industrial visit.
  • To provide opportunities in order to promote organizational and leadership skills in students through various co-curricular and extra – curricular activities


About the Course

This comprehensive course offers numerous advantages for understanding key concepts in data science. It provides a deep dive into the analysis of big data, effectively handling large datasets, and optimizing operations to efficiently manage vast amounts of information. By enrolling in this all-in-one data science course, you will gain valuable knowledge about various tools, IDEs, frameworks, and techniques that are instrumental in mastering different areas within data science. The curriculum begins by introducing the fundamental building blocks of data science, such as foundational principles, core concepts, and basic programming elements. Subsequently, it progresses to cover essential aspects like data visualization and analytics using popular platforms like Excel, SQL, and Tableau. These modules delve into crucial skills, including data extraction strategies, advanced manipulation techniques, detailed analysis methodologies, relevant reporting practices, and constructing intuitive business dashboards.

Top Programming languages for Data Science:

  • Python
  • R Programming
  • Java script
  • Java
  • SQL
  • Scala
  • Key Areas of Data Science


  • Pycharm
  • Jupyter

Data Analysis:

  • FE
  • Data Wrangling
  • EDA (explore data analysis)

Data Visualization:

  • Tableau
  • Power BI
  • MATplotlib
  • Ggplot
  • Seaborn

WEB Scraping:

  • Beautiful Soup
  • Scrapy

Key areas of data science

  1. Data Engineering and Data Warehousing
    Data Engineering involves converting data into a format that is suitable for analysis. This often includes overseeing the origin, organization, integrity, storage, and availability of the data in order to enable its query and analysis by other analysts..
    related jobs: Data Engineer, Database Developer, Data Analyst
  2. Data Mining and Statistical Analysis
    Data Mining involves the utilization of statistical techniques such as exploratory data analysis and predictive modeling to identify patterns and trends in data obtained from various sources. This individual has the ability to analyze a business problem, transform it into a specific question about data, develop predictive models to address this question, and effectively communicate their findings through storytelling.
    related jobs: Data Scientist, Business Analyst, Statistician
  3. Cloud and Distributed Computing
    Designing and implementing the necessary infrastructure and platforms for cloud computing and distributed systems is what Cloud and System Architecture entail. This role also involves analyzing system requirements, ensuring secure integration with existing applications, and aligning them with business needs.
    related jobs: Cloud Architect, Cloud Engineer , Platform Engineer
  4. Database Management and Architecture
    The primary responsibility of this role is to create, implement, and manage databases that handle large volumes of complex data transactions for specific services or groups.
    related jobs: Database Analyst, Database Administrator, Data Specialist
  5. Business Intelligence and Strategy
    BI encompasses various essential tasks, such as enhancing data sources for greater precision and ease, creating customized analytics solutions, overseeing dashboards and reports for stakeholders’ benefit, identifying opportunities to optimize reporting and analysis practices – including aspects like data integrity, test design, validation, and documentation.
    related jobs: BI Engineer, BI Developer, BI Analyst, Data Strategist
  6. ML / Cognitive Computing Development
    Most individuals associate data science with “creating robots”. This field encompasses a more advanced and intricate version of data mining and statistical analysis. The primary focus lies in acquiring the necessary input to fuel the model, which involves tasks such as constructing data pipelines, identifying convenient sources for data, conducting A/B testing, and establishing benchmarking infrastructure. Once these preliminary steps are completed, attention may shift towards building the actual algorithms or models. However, this phase often relies on well-established industry tools and statistical techniques. It is worth noting that this particular area has become a popular buzzword in numerous organizations; therefore it is advisable to explore specific sub-fields within it to gain a clear understanding of one’s preferences.
    related jobs: ML Engineer, AI Specialist, Cognitive Developer, Researcher
  7. Data Visualization and Presentation
    Presenting data in a visually pleasing manner has become an integral aspect of various roles, such as business analyst and data scientist. When these areas are designated as official positions within a company, the primary responsibility is to develop tailored BI solutions for teams and customers based on specific business needs and use cases. In some instances, this may involve more emphasis on graphic design skills..
    related jobs: Data Viz Engineer, Data Viz Developer, Software Developer
  8.  Operations-Related Data Analytics
    If you do not identify as highly technical but still have a knack for problem-solving and optimizing processes, these could be suitable career options. These positions involve utilizing the tools and data provided by the rest of the data science team to identify areas for improvement in various aspects of business operations, such as logistics, technology, finance, or human resources.
    related jobs: Planning Analyst, Decisions Analyst, Communications Analyst, etc
  9. Market-Related Data Analytics
    The level of technical expertise required for these roles varies depending on the analysis level and company. Typically, individuals in these positions concentrate more on external data pertaining to customers, sales, and marketing. However, their overall objective is similar to that of operations personnel: monitoring performance and identifying potential opportunities.
    related jobs: Web Analyst, Product Analyst, Market Analyst, Sales Analyst
  10. Sector-Specific Data Analytics (Healthcare, Finance, Insurance, etc.)
    Finally, individuals with a background in sectors like Healthcare or Finance and a need for specialized knowledge to assess data may consider exploring entry-level analyst roles within companies operating in these industries. It is important to note that the specific technical skills required for such positions will vary depending on the hiring organization’s expectations and preferred tools.
    related jobs: Data Analyst, Business Analyst, Data Scientist — specialized


Data science is gaining immense popularity and becoming a lucrative career choice due to its high salaries and abundant opportunities. This field, widely regarded as one of the most sought-after careers of the 21st century, is witnessing an exponential growth in job openings worldwide.

India, like many other countries, is also witnessing a data explosion and experiencing increased demand for data scientists as more companies embrace this technology-driven discipline.

  1. Data Scientist
  2. Data Analyst
  3. Data Engineer
  4. Business Intelligence Developer.
  5. Data architect
  6. Statistician
  7. Business Analyst
  8. Machine Learning engineer
  9. Database Administrator


The demand for data scientists is rapidly increasing each day due to their extensive knowledge and expertise in various fields such as machine learning, statistics, mathematics, computing science, data visualization, and communication. As companies grapple with large amounts of data, they rely on these professionals to extract valuable insights that can enhance their business strategies while adapting to evolving technologies in the market. Consequently, there’s a growing need for skilled individuals who possess reliable data science skills. These experts proficiently manipulate vast datasets using advanced statistical techniques and visualization methods to predict potential outcomes and identify possible risks. Additionally, this escalating demand also offers promising career opportunities for both students and established professionals alike.

In a typical day, the tasks of a data scientist involve extracting information from various sources through the use of APIs or constructing ETL pipelines. Data cleansing is performed using programming languages such as R or Python. They search for more efficient methods to analyze data by exploring disparate and disconnected sources. Data scientists possess knowledge in specific areas and have expertise in managing and interpreting data to solve complex problems. Additionally, they construct models and algorithms that allow them to uncover patterns and trends within extensive datasets. Finally, these insights are communicated visually to stakeholders using visualization tools.

Currently, the role of a ‘data scientist’ is regarded as one of the most attractive jobs in the 21st century. While it is essential to have experience with R, Python, Cloud computing, machine learning, multivariable calculus, probability and statistics, SQL,Tensorflow,and big data analysis skills alongside soft skills like data storytelling,data communication,business acumen and critical thinking for success in this highly competitive field; there are certain additional skills that can set individuals apart. Some examples include:

Data Wrangling: Working with messy and disorganized data sets can be challenging. The database fields may lack clear definitions, contain irrelevant values, or have inconsistent uses within the same field. Additionally, outliers in the data may not have a clear explanation. Therefore, it is essential to transform, standardize, normalize and clean the data before conducting any modeling work in order to extract meaningful insights from it. Data wrangling refers to the process of converting data from one format to another. This task requires patience as no amount of time or knowledge can compensate for a poorly structured dataset. For example, Python offers tools for effective Data Wrangling techniques.

Web Analytics: With the rise of social media platforms such as Facebook, Twitter, Instagram, and more, there is a wealth of untapped data available that can greatly benefit customer services and improve brand offerings. To gain valuable insights into target customers, it is essential to utilize web analytics algorithms to collect online data effectively. Popular web analytic tools like Kissmetrics, Mixpanel, and Google Analytics provide companies with the ability to track website traffic and analyze it for strategic purposes.

Visualization and Storytelling: Although data visualization is an important aspect of a data science role, recruiters may not place significant emphasis on this skill during the hiring process. However, by utilizing data visualization techniques, individuals can effectively illustrate the outcomes derived from machine learning algorithms. As previously mentioned, this enables data scientists to explain and communicate their discoveries to both technical and non-technical audiences. Several helpful tools for data visualization include Matplotlib, d3.js, Tableau, and ggplot. Additionally, incorporating visually appealing charts and graphs of high quality facilitates clear and concise presentation of findings. Moreover it is crucial for a data scientist to possess a imaginative mindset in order to enhance their ability to tell stories with the provided information through engaging stakeholders when necessary.

Career Enhancement Programme – held on 06-05-2023

The Kalam Institute of Youth Excellence is a transformative initiative aimed at realizing the vision and mission of Dr. A. P. J. Abdul Kalam. Recently, in collaboration with ACE Engineering College, KIYE organized a one-day Career Enhancement Programme on May 6th, 2023. A total of 1200 students from ten engineering colleges participated in this programme where they were provided insights into various aspects of career planning and entrepreneurship. The Chief Guest for the event was Dr.G Sateesh Reddy, Scientific Advisor to Raksha Mantri, who spoke about the importance of mind management and developing creative skills through simple techniques using real-life examples. Additionally, as a special guest speaker, Dr.S Somanth – Secretary Department of Space & Chairman ISRO shared valuable insights on how to enhance skills in advanced technologies and explore global opportunities.


Name of the Programme

CSE (Data Science)

Approved Intake (2022) 180
No. of Faculty Members 14



Professor 01
Assoc. Professor 05
Asst. Professor 18
Faculty Profile


No. of Faculty

Ph.D 03
Ph.D(Pursuing) 08
Post Graduate 14
Technical Staff Technical Staff 01
Programmers 02
Name   Dr. P. Chiranjeevi
Designation HOD (Associate Professor)
Qualification B.Tech(CSE), M.Tech(CSE), Ph.D(CSE), Dip in AIML (UoH)
Professional Exp. 16 Years Teaching     |     6 Months Industry
Research Interests Sentiment Analysis (Text Mining)
Registration Number 5569-150423-175518
Profile Click here
Name   Dr. Ralla Suresh
Designation Assistant Professor
Qualification B.Tech, M.Tech, Ph.D
Professional Exp. 16 Years
Research Interests Machine learning, Deep learning
Registration Number 0862-150505-162448
Profile Click here
Narasimha Rao
Name   Mr. Daram Narasimha Rao
Designation Associate Professor
Qualification MTech(CSE)
Professional Exp. 28 Years
Research Interests Operational Research
Registration Number 40150407-124112
Profile Click here
Name   Mrs. P Rajeshwari
Designation Associate Professor
Qualification B.Tech, M.Tech, (PhD)
Professional Exp. 19 Years
Research Interests Deep Learning, Parallel Computing
Registration Number 3313-160305-205712
Profile Click here
Name   Mr. Y. V. S. Durga Prasad  
Designation Associate Professor
Qualification B.Tech (ECE), M.Tech (Communication System), PGDM-Marketing
Professional Exp. 14.6 Years Teaching     |     2 Years Industry
Research Interests Computer Networks
Registration Number 53150406-154658
Profile Click Here
Name   Ms. A Sarala Devi
Designation Associate Professor
Qualification MCA., M.Tech(CSE) (Ph.D)
Professional Exp. 13.8 Years
Research Interests Artificial Intelligence, Neural Networks
Registration Number 37150404-195953
Profile Click here
Name    Mr. P. Ashok Kumar
Designation Assistant Professor
Qualification B.Tech (CSE), M.Tech (CSE), (Ph.D)
Professional Exp. 15.9 Years Teaching     |     1 Year Industry
Research Interests Sentiment Analysis
Registration Number 8672-150415-124752
Profile Click here
Name   Ms. Padmini Chattu
Designation Assistant Professor
Qualification B.Tech, M.Tech, (Ph.D)
Professional Exp. 16.9 Years
Research Interests Data Mining, Sentiment Analysis, Deep Learning
Registration number 9664-220623-132101
Profile Click here
Name   Mr. Md.Younus Shariff
Designation Assoc Prof
Qualification B.Tech., M.Tech
Professional Exp. 15 Years Teaching      |     1 Year Industry
Research Interests MERN Stack and Mobile Development
Registration Number 70150405-155529
Profile Click here
S.Raja Sekhar Babu
Name   Mr. S.Raja Sekhar Babu
Designation Assistant Professor
Qualification MCA., M.Tech (CSE)
Professional Exp. 14 Years
Research Interests Java, Web Technologies, Operating Systems
Registration Number
Profile Click here
Name   Mr. Kiran Babu Kommu
Designation Assistant Professor
Qualification B.Tech (CSE), M.Tech (CSE)
Professional Exp. 13 Years
Research Interests AI and ML, Network security
Registration Number 1715-040613-1716
Profile Click here
Name   Mr. J.  Sampath Kumar
Designation Assistant Professor
Qualification M.Tech
Professional Exp. 8 Years Teaching     |     3 Years Industry
Research Interests Computer Networks/wireless communications
Registration Number 9591-150418-172929
Profile Click Here
Pilligundla Niharika
Name   Mrs. Pilligundla Niharika
Designation Assistant Professor
Qualification B.Tech (CSE), M.Tech (CSE), (Ph.D)
Professional Exp. 9 Years
Research Interests Machine Learning
Registration Number 29150404-150258
Profile Click here
Name   Ms. B. Saritha
Designation Assistant Professor
Qualification B.Tech (CSE), M.Tech (CSE), (Ph.D)
Professional Exp. 7.5 Years
Research Interests Machine learning, Deep learning
Registration number 3373-170915-114707
Profile Click here
Name   Mr. Vanama Pavan Kumar
Designation Assistant Professor
Qualification B.Tech., M.Tech.
Professional Exp. 6 Years
Research Interests Machine learning
Registration Number 98150331-122241
Profile Click here
Name   Mr. Hari Krishna Mallu
Designation Assistant Professor
Qualification B.TECH (IT), M.TECH (CSE), TSSET-2023
Professional Exp. 5 Years
Research Interests Cryptography
Registration Number 8285-201108-114902
Profile Click here
Name   Mrs. R Suruthi Sutharsana
Designation Assistant Professor
Qualification BE (IT), ME (IT)
Professional Exp. 3.6 Years
Research Interests Wireless sensor Network
Registration Number 4780-230324-132103
Profile Click here
Name   Mr. Gollapalli Parwateeswar
Designation Assistant Professor
Qualification B.Tech, M.Tech, UGC-NET-2019 JRF Qualified
Professional Exp. 2 Years Teaching     |     1 Year Industry
Research Interests Computer Networks
Registration Number 8056-220416-130520
Profile Click here
Name   Dr. B. Ranga Swamy
Designation Professor
Qualification Ph.D (CSE)
Professional Exp. 20 Years
Research Interests Theory of Computation, AI, Block Chain
Registration Number 2448-150408-160802
Profile Click here
 K Sasi Kiran
Name   Mr. K. Sasi Kiran
Designation Assistant Professor
Qualification M.Tech, PGD in Artificial Intelligence
Experience 07 Years
Research Interests AI, Data Science, RPA
Registration Number 3795-161228-102717
Profile Click Here
Shaik Nagur Vali
Name   Mr. Shaik Nagur Vali
Designation Assistant Professor
Qualification M.Tech
Professional Exp. 5.6 Years
Research Interests Devops,AWS Cloud, Data Science
Registration Number 8328-240130-115807
Profile Click here
Name   Mr. Ashwani Attri
Designation Assistant Professor
Qualification B.Tech & M.Tech (CSE)
Professional Exp. 2.5 Years
Research Interests Algorithms, Data Structures, Database Management System, Theory of Computation, Formal Language and Automata Theory, Computer Networks, Operation System, Computer Organisation and Architecture, Software Engineering
Registration Number 6132-240205-144227
Profile Click here
Name   Mr. Sankul Revanth
Designation Assistant Professor
Qualification B.Tech & M.Tech (CSE)
Professional Exp. 2.4 Years
Research Interests Data Science, Machine Learning
Registration Number 8733-210430-124306
Profile Click here
Name   Ms. Shruti Kalbhor
Designation Assistant Professor
Qualification B.Tech (CSE), M.Tech (CSE) & MBA (HR Management and Finance)
Professional Exp. 4 Years Industry Experience
Research Interests Data Science, Machine Learning
Registration Number 8333-240118-105656
Profile Click here


S.NO. Name
1 Dr. P. CHIRANJEEVI Click here
2 Mrs. SOPPARI KAVITHA Click here
3 KETAN ANAND Click here



Hardware configuration Dell OptiPlex 7080 Tower  with 500w upto 92% efficiency PSU Intel Core i7 10700 10th Generation 32GB DDR4 RAM, M.2 256SSD, 1TB HDD, NVIDIA GeForce RTX 2070 Super 8GB Dell wired keyboard, Windows 10 pro (64bit)
Operating System Windows10, Ubuntu 16.04.
Open-Source Tools Python 3.6.5, R-Language, OpenCV, C, C++, JAVA.
Licensed Tools Oracle with analytics.
Other resources High Speed Internet, Projector, White Board, Intercom

Client system Configuration:

Hardware configuration Intel i5 processor with 2.5GHz clock frequency, 4GB RAM, 500GB Hard Disk.
Operating System Windows10, Ubuntu 16.04.
Open Source Tools Python 3.6.5, R-Language, OpenCV, C, C++, JAVA.
Licensed Tools Oracle with analytics.
Other resources High Speed Internet, Projector, White Board, Intercom


I B.Tech I-Semester

S. No    Course Code Course Title
1 MA101BS Mathematics – I
2 CH102BS Engineering Chemistry
3 EE103ES

 Basic Electrical Engineering

4 ME105ES Engineering Workshop
5 EN105HS English
6 CH106BS Engineering Chemistry Lab
7 EN107HS English Language and Communication Skills Lab
8 EE108ES Basic Electrical Engineering Lab
9 MC109 Python Programming
10 MC110 Aptitude & Reasoning

I B.Tech II-Semester

S. No    Course Code Course Title
1 MA201BS Mathematics – II
2 PH202BS Applied Physics
3 CS203ES Programming for problem Solving
4 ME204ES Engineering Graphics
5 PH205BS Applied Physics Lab
6 CS206ES Programming for problem Solving Lab
7 MC207ES Environmental Science
8 MC208 Business English

II B.Tech I-Semester

S.No    Course Code Course Title
1  CS301PC Discrete Mathematics
2  CS302PC Data Structures
3  MA305BS Mathematical and Statistical Foundations
4  CS304PC Computer Organization and Architecture
5  CS310PC Advanced Python Programming
6  SM302MS Business Economics & Financial Analysis
7  CS307PC Data Structures Lab
8  CS311PC Advanced Python Programming Lab
9  MC309HS Gender Sensitization Lab

II B.Tech II-Semester

S.No    Course Code Course Title
1 CS409PC  Formal Language and Automata Theory
2 CS410PC  Software Engineering
3 CS403PC  Operating Systems
4 CS404PC  Database Management Systems
5 CS405PC  Java Programming
6 CS406PC  Operating Systems Lab
7 CS407PC  Database Management Systems Lab
8 CS408PC  Java Programming Lab
9 MC409HS  Constitution of India

Career Enhancement Programme – held on 06-05-2023

Kalam’s Institute of youth excellence is a Youth Transforming Mission to fulfil the Dr. A. P. J. Abdul Kalam Vision and Mission. Ace Engineering College in Collaboration with KIYE organised a one-day Career Enhancement Programme in ACE Engineering college on 06-05-2023.A total of 1200 students from 10 Engineering Colleges Participated in the Programme. Students are enlightened with broader aspects of career planning and entrepreneurship. The chief guest, Scientific advisor to Raksha Mantri Dr.G. Sateesh Reddy spoke about mind management, enhancement of creative skills with simple techniques and given day to day live examples. Special guest Dr.S. Somanth secretary Department of Space & Chairman ISRO gave valuable input about how to enhance skill in Advanced technologies and global Opportunities.

Program Report

TECHNICAL FEAST – held on 10/03/2023

Technical feast is organized by CODE. It is a coding competition conducted for both 2nd and 3rd year students. This test is based on Python programming & Quantitative aptitude and Reasoning

INDUSTRIAL VISIT TO T-HUB – held on 19/12/2022

T-Hub is creating impact for startups, corporations and other innovation ecosystem stakeholders-HUB helps the students who have ideas to implement for the society but who are financially weak. T-hub encourage them to implement their ideas

OPEN INTERACTION – held on 17/10/2022

Open interaction is organized by CODE. This open interaction is conducted for making students to come up with new thoughts and expressing their ideas with everyone.


CODE is a Student technical association formed by DATA SCIENCE STUDENTS. this association helps the students to come up with innovative ideas.

CULTURAL FEST – held on 01/06/2022

A cultural festival is a celebration of the traditions. Every one actively participated in cultural events like singing, dancing, dramas etc.

Subject NameMonth and CodeYearSemesterDownload
Subject NameMonth and CodeYearSemesterDownload



Unit – 1

Unit – 2

Unit – 3

Unit – 4

Unit – 5


Unit-2, 3, 5 Questions