B.SC COMPUTER DATA SCIENCE & DATA ANALYTICS ENGINEERING

Introduction

B.Sc. Computer Data Science and Data Analytics Engineering

The B.Sc. Computer Data Science and Data Analytics Engineering program was introduced at Loyola Academy in the academic year 2016–17 to meet the growing demand for professionals with strong analytical skills. It is one of the first programs in the twin cities that uniquely combines Statistics and Computer Science, offering students a powerful interdisciplinary foundation.

The course focuses on analyzing and interpreting large volumes of data to support informed decision-making in real-world scenarios. The curriculum is designed with industry relevance in mind and includes technologies such as Python, R Programming, Big Data using Hadoop, and Machine Learning. Students develop strong skills in programming, statistical analysis, and data visualization.

To enhance practical exposure, the department regularly organizes workshops, seminars, and industrial visits. Students actively work on real-time projects, which help in strengthening their analytical thinking and problem-solving abilities. The department has also maintained a good placement record, with students being recruited by reputed IT and analytics companies. Overall, the program aims to develop skilled, industry-ready data professionals.

💼 Job Opportunities

Graduates of this program have access to a wide range of high-demand career opportunities across multiple industries. Some of the prominent roles include Data Analyst, Data Scientist, Business Analyst, Machine Learning Engineer, Data Engineer, Statistical Analyst, AI Engineer, Research Analyst, and Big Data Analyst.

With the increasing importance of data-driven decision-making, these professionals are highly valued in sectors such as IT, banking, healthcare, e-commerce, finance, and consulting.

🏢 Placement Opportunities in Top MNCs

The program has a strong placement track record, with students securing positions in leading multinational companies such as JPMorgan Chase, Cognizant, Tata Consultancy Services, Amazon, and Deloitte.

In addition to these, students are also placed in analytics firms, startups, and product-based companies, offering competitive salary packages and strong career growth opportunities.

🎓 Higher Education Opportunities

In India, students can pursue higher studies such as M.Sc. in Data Science, Statistics, or Computer Science, MCA (Master of Computer Applications), MBA in Business Analytics or IT, and postgraduate diplomas in Data Science, Artificial Intelligence, or Machine Learning. Many top institutions offer specialized programs in these emerging domains.

Abroad, students have excellent opportunities to pursue MS programs in Data Science, Artificial Intelligence, Business Analytics, and Computer Science with data-focused specializations. Countries like the USA, Canada, UK, Australia, and Germany provide globally recognized education, advanced research exposure, and strong career prospects.

📊 Importance of the Course

This program is highly relevant in today’s digital age where data plays a crucial role in innovation and decision-making. The course offers high industry demand as organizations increasingly rely on data insights. Its interdisciplinary nature, combining Statistics and Computer Science, provides a unique and valuable skill set.

It ensures a future-proof career, as data science, AI, and analytics are among the fastest-growing fields globally. The strong focus on practical exposure through projects, workshops, and industry interaction prepares students for real-world challenges. Additionally, the versatility of the program allows graduates to work across various domains such as finance, healthcare, marketing, and technology.

The course also promotes innovation and research by encouraging critical thinking and problem-solving through data-driven approaches, making students well-equipped to meet evolving industry demands.

Vision & Mission

Vision :

To empower the students of B.Sc. Computer Data Science & Data Analytics Engineering to be technologically advanced and innovative through quality education.

Mission:

To apply knowledge in Computer Science, including interdisciplinary areas that define the scope of Data Science.
To educate students to be effective problem-solvers and successful in their field.
To contribute positively to the industry and to prepare the students to solve complex data challenges of the current era.

Highlights

Today we experience a true deluge of data which shapes our lives, ranging from large global issues such as climate change to the smallest local problems. Data Science relevant subjects such as Python, R Programming and Big Data using Hadoop play a vital role in shaping students as Data Scientists in these fields:

01 Major Projects

Major projects are part of Loyola’s curriculum. Our corporate tie-ups ensure our students have global exposure during their project period. As part of the B.Sc. Computer Data Science & Data Analytics and Engineering curriculum, students do projects related to Machine Learning, Predictive analytics in general and implement statistics at large to complete their degree.

02 Guest Lectures

We invite experts from the industry like IBM Technologies by PACE, an IBM Career Education Authorized business partner, Jigyasa Analytics, etc., to talk to our students on a regular basis.

03 Tech-Savvy Labs

Our dedicated labs are equipped with state-of-the-art infrastructure and cutting-edge technology. This ensures plenty of hands-on exposure for our students.

Best Practices

1. Alumni Interaction

Description:
The department regularly organizes alumni interaction sessions to connect current students with former students working in various professional fields. During these sessions, alumni share their experiences, industry knowledge, and career guidance with students. These interactions help students understand real-world industry expectations and motivate them to prepare for future career opportunities.

Objectives:

To provide career guidance and mentorship to students.
To connect students with alumni working in industry and academia.
To expose students to real-world professional experiences.

2. Workshop on Data Science

Description:
The department conducts workshops on Data Science to enhance students’ practical knowledge and technical skills. These workshops are led by experts and focus on areas such as data analysis, machine learning, and data visualization. They help students gain hands-on experience with tools used in the data science field.

Objectives:

To provide practical exposure to data science tools and techniques.
To improve analytical and problem-solving skills.
To bridge the gap between theoretical knowledge and industry practice.

Prospectus

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Ms. V.SHIRISHA

HOD - Asst. Professor

EMP ID:18119

M.Sc Computer Science

Ms. M SAILAJA

Asst. Professor

EMP ID: 9103

M.Sc., (Ph.D)

MS.T.REKHA

Asst. Professor

EMP ID: 22111

M.Sc Computer science, TS-SET

Ms G. Sowmya

Asst. Professor

EMP ID:25118

MCA

Ms T. SAI PRIYA

Asst. Professor

EMP ID:25135

MCA

POs,PSOs of the Department

B.Sc Programme Outcomes:

PO1: Scientific Knowledge. Apply the knowledge of Science, Mathematics, Engineering& Technology fundamentals to solve the complex problems.

PO2: 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, and the cultural, societal, and environmental considerations.

PO3: Problem analysis: Identify, formulate, research literature, and analyze complex scientific problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO4: Modern tool usage: Create, select and apply appropriate techniques, resources, modern technology and IT tools to complex science and technological activities.
PO5: Environment and sustainability: Understand the impact of professional science and technological solutions in societal and environmental contexts and for sustainable development.
PO6: Individual and team work: Function objectively as an individual and as a member in diverse teams.
PO7: Communication: Communicate effectively on complex science & technology activities with society at large and able to write effective reports and documentation.
PO8: Life-long learning: Recognise the need and ability to engage in independent and lifelong learning in the context of technological change.

Programme Specific Outcomes (PSO’s)

PSO1: Apply computer science languages and algorithms, as well as mathematical and statistical models for developing solutions to the real world problems.
PSO2:Understand the fundamentals of Computer Organization, Operating Systems and networking related concepts and apply the knowledge of computer systems in designing and building software solutions.
PSO3: Demonstrate, identify, formulate and analyse diverse big data problems helping in business decision making. Apply supervised and unsupervised machine learning methodologies.
PSO4: Apply appropriate Data Mining and Text Mining techniques for cleaning, processing and transforming the data. Analyze and interpret the data using an ethically responsible approach and derive insights from it.

Outcome Based Education - COs & Mapping

Syllabus with Scheme & Credits

1.Quality Intiatives / Innovative Practices of the department

1. Workshop on HTML5 and CSS (9–11 September 2025)
The department organized a workshop on HTML5 and CSS from 9–11 September 2025 to introduce students to the fundamentals of web development. The workshop focused on creating structured web pages using HTML5 and designing visually appealing layouts with CSS. Students gained hands-on experience by developing basic web pages and understanding front-end development concepts.

2. Workshop on DBMS with TCS iON (2–4 September 2025)
A workshop on Database Management Systems (DBMS) was conducted in collaboration with TCS iON from 2–4 September 2025. The session covered topics such as database design, SQL queries, data storage, and database management techniques. It helped students understand the importance of databases in managing and organizing large volumes of data in real-world applications.

3. AI Workshop with 1M1B (1 December 2025)
The department organized a workshop on Artificial Intelligence in association with 1M1B (1 Million for 1 Billion) on 1 December 2025. The session introduced students to the basic concepts of AI, its applications across industries, and the growing importance of AI technologies. It encouraged students to explore innovation and technology-driven solutions.

4. Data Analytics Workshop with ICT Academy (1–5 December 2025)
A Data Analytics workshop was conducted with ICT Academy from 1–5 December 2025 to enhance students’ analytical and data interpretation skills. The workshop focused on data analysis techniques, data visualization, and the role of analytics in decision-making. It provided students with insights into career opportunities in the field of data analytics.

2.Department Activities ( Year - Wise Report )

N/A

3.Research Activites of the Department

Ms. T Mahathi has received a certificate of achievement for securing The Best Research Paper for Comparative Analysis of Machine Learning and Deep Learning Models for Multiclass Anemia Prediction in Telangana in the International Conference on Emerging Trends in Science and Technology (ICETSAT-2025) held from 28^th July to 30^th July 2025 organized by the department of Physical Science, Little Flower Degree College, Uppal, Hyderabad.

4.Skill Enhancement Certificate Course

CERTIFICATE COURSE

5.Industry Visits

Industrial visits are an important part of students’ learning as they provide practical exposure to real-world working environments. Through industrial visits, students can observe how theoretical concepts learned in the classroom are applied in industries. It helps them understand modern technologies, production processes, and professional work culture. Such visits also enhance students’ knowledge, improve their practical understanding, and motivate them to prepare for future career opportunities.

INDUSTRIAL VISIT 2025-26

6.Extension Activities

PLANET-2016-17
The students of Loyola degree and P.G college alwal of B.sc Data Analytical Engineering first year on 9^th February 2017 at 9:00am visited to Don Bosco Navajeevan orphanage that was located in boiguda to help them in rescuing the street children.
PLANET-2021-22
As the students of Loyola, we the department of Computer Data Science & Data Analytics Engineering (ACDS & NCDS) had taken part in the PULSE POLIO CAMPAIGN as our planet program which was held on 27^th and 28^th of February 2022. We all were instructed to gather at Primary Health Centre, Old Alwal, by 6:30 am. Here we were given all the instructions about what we were supposed to do on that day
PLANET-22-23
The students of first year of Bsc . Computer Data Science and Data Analytical Engineering visited HOME FOR THE DISABLED, on 15^th of February 2023. HOME FOR THE DISABLED is built in the memory of Rev.FR.RAYMOND AMBROISE.
PLANET-24-25

As part of our Planet Program, we visited an old age home on September 11th. The visit was a meaningful and heartwarming experience. Our class students engaged in various services and

spent quality time interacting with them, making the day both memorable and impactful.

During the visit, we conducted a range of activities to support and bring joy to the residents. These included :

Helping with cleaning and organizing their living spaces.
Spending time listening to their life stories, which were rich with wisdom and experiences.

Sharing laughs, songs, and meaningful conversations that uplifted their spirits.

PLANET-25-26

As part of our Planet Program, our class ACDS visited an orphanage located in East Marredpally on February 5th, 2026. The visit was a meaningful and fulfilling experience for all of us. It gave us an opportunity to spend time with the children, understand their lives, and contribute in small ways to make their day happier and brighter.

During the visit, our class students actively participated in various activities and interacted with the children. Some of the activities included:

Spending time with the children and engaging in friendly conversations.
Participating in fun activities and games to create a lively and enjoyable atmosphere.
Sharing laughter, stories, and positive interactions that brought smiles to everyone present

NCDS

As part of our Planet Program, our class NCDS visited a Home for Disabled on February 7th, 2026. The visit was a meaningful and eye-opening experience for all of us. It gave us the opportunity to interact with the residents, understand their daily lives, and learn the value of empathy, kindness, and social responsibility.

During the visit, we engaged with the residents and participated in several activities that created a warm and supportive environment. Some of the activities included:

Interacting with the residents and listening to their experiences.
Helping staff members with small supportive tasks.
Serving food and spending time talking and engaging with the residents.
Participating in group interactions that brought positivity and joy.

7.Extra Curricular Activities

PARTICIPATION IN NATIONAL SCIENCE DAY

8.GE Course Offered

Achievements of the Department

Garima Gupta, a Final Year student participated and won 2nd prize in STATS MONARCH in STATA FEST-2018 held on 29th September 2018 organized by the department of Statistics at St.Ann’s College for Women, Hyderabad.
Garima Gupta, a Final Year student participated and won 2nd prize in the event “Abstract presentation” in ANONYMOUS HARDWARE HACKATHON 2K18, held on 1st September 2018 organized by the department of Computer Systems and Engineering at Loyola academy Degree and PG College, Secunderabad.
Garima Gupta, a third year student Won the best NEGOTIATOR IN PERSPECTIVE an intra college conference held
2nd Position – Best Department in Intra-College Resonance 2021-22
STUDENT ACHIVEMENTS 25-26

Faculty Achievements

Mrs. V. Theresa Vinayasheela has participated in Govt. of India sponsored one week FDP on “Big Data Analytics” organized by E & ICT Academy, National Institute of Technology, Warangal at MVSR Engineering College, Nadergul, Hyderabad, Telangana from 7th -14th August 2018
V.Shirisha and P. Prathyusha published a paper titled “AN OVERVIEW ON TEXT DATA MINING “in IJRAR (www.ijrar.org) ISSN UGC Approved & 5.75 Impact Factor Volume 5 Issue 4 December 2018.
Visited St. Ann’s College for Women as a Guest Lecturer and provided informative lecture on “Machine Learning” from 28th March 2022 to 30th March 2022.
V.Shirisha Received Top Performing Mentor from NPTEL Online Certification course for “Python for Data Science” for the term July-December 2021.
Mrs M. Sailaja has participated in a One day International Webinar on “Recent trends in Recent Advances in Statistics” organized by GITAM (Deemed to be University), Visakhapatnam on 29th June 2021
Mrs D. Supriya has participated in The International Virtual Conference on “Recent Trends in Engineering, Commerce, Management, Humanities, Science and Environmental Ecosystem for Sustainable Development” and presented a paper on “A New Path to Machine Learning- Deep Learning Survey” on 31st May 2021
Sushma Paduchuri has been certified for participating in “Relevance of Education in the Holistic Development of the Students” as part of the National Level Online Faculty Enhancement Program conducted by St.Ann’s Degree college for women and St.Ann’s P.G college for women on 21.01.2023.
T.Rekha has been presented certificate of completion for completing the 6-Day Online Faculty Enhancement Program on “New Age Learning And Teaching Skills” from 18-01-2023 to 24-01-2023
T.Rekha has participated and successfully completed the FACULTY DEVELOPMENT PROGRAMME IN EMERGING TECHNOLOGIES under the aegis of Indo-US Higher Education and career Summit (2022-2023) from 17th Nov- 30th 2022 conducted by the esteemed faculty members of Wayne State University .

Students Achievements

7 students successfully completed international certification from IABAC on “DATA SCIENCE FOUNDATION”

7 students successfully completed international certification from IABAC on “CERTIFIED DATA SCIENTIST”
Jayanthi Sruti has secured Third place in CM cup in Volleyball in 2022
Suraj has won in VIT-AP UNIVERSITY TOURNAMENT
Suraj has secured first place in Basketball event in the SPARKS INTELLIGENTIA TECHNO SPORTS CULTURAL FEST 2022 at MallaReddy University
Inter University Sports fest.G.Divyanjali of Loyola Academy (B.sc. CDS) has secured second place in kabaddi(women) event in “sparks-intelligentia-techno sports-cultural fest” held during March 16th-18 th 2022.