The BCA in Data Science program focuses on developing strong foundations in computer programming, data analytics, machine learning, and modern data-driven technologies required for careers in the rapidly growing data science and artificial intelligence industry.
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BCA Data Science College in Faridabad
The BCA in Data Science program at ACEM has an approved intake of 120 seats and builds strong foundations in computer applications, statistical analysis, programming and modern data analytics technologies.
The program is affiliated with J.C. Bose University of Science and Technology, YMCA, and combines programming skills with data analytics, machine learning, artificial intelligence and real-world data interpretation.
The curriculum includes Project-Based Learning, internships, hands-on lab sessions, real-world datasets and modern tools such as Python, SQL, Power BI, Tableau and AI frameworks.
The BCA Data Science program equips students with strong knowledge in data analytics, machine learning, programming, and statistical modelling required for careers in the modern data-driven economy.
Graduates of BCA in Data Science play an important role in modern technology industries including data analytics, artificial intelligence, business intelligence, and software development.
Admission Process Contact Admission OfficeThe BCA in Data Science program spans three years divided into six semesters, combining computer programming, data analytics, machine learning concepts, and practical training through projects and laboratory work.
Students learn the fundamentals of computer science including programming languages, mathematics for computing, computer fundamentals, and introduction to data science concepts.
The second year focuses on data structures, database management systems, data analytics techniques, statistical modelling, and web technologies used in modern software systems.
Students study advanced topics including machine learning, big data analytics, artificial intelligence concepts, data visualization, and predictive modelling techniques.
Students complete internships, live analytics projects, data analysis assignments, and technical workshops to gain practical experience with real-world data systems.
The final semester includes industry training or a data science project where students apply programming, analytics, and machine learning skills to solve real-world data problems and prepare for careers in data analytics, artificial intelligence, and modern IT industries.
Empowering students with strong career outcomes and industry exposure
Highest Package
Average Package
Placement Rate
Recruiting Companies
The BCA in Data Science program prepares students for careers in data analytics, artificial intelligence, machine learning, and modern data-driven technologies across industries such as finance, healthcare, e-commerce, and technology.
Graduates from ACEM develop strong programming, analytical, and data interpretation skills through laboratory work, real-world data projects, and practical training in data analytics and machine learning tools.
ACEM maintains strong connections with technology companies, analytics firms, and software development organizations. Students receive training in programming, data analytics, machine learning concepts, and technical interviews to prepare for careers in the fast-growing data science field.
Aravali College of Engineering & Management provides a strong academic ecosystem for data science education with experienced faculty, modern computing laboratories, and industry-oriented training to prepare students for careers in analytics and AI.
The BCA Data Science program is affiliated with J.C. Bose University of Science and Technology, YMCA, and follows strong academic standards in computer and analytics education.
Faculty members hold M.Tech and PhD qualifications completed or in progress, contribute to publications, and mentor students in data analytics and machine learning.
Students gain hands-on experience through 9 state-of-the-art laboratories with licensed software, high-speed 1 Gbps internet, programming environments and analytics tools.
The program focuses on Python, R, data visualization, DBMS, big data technologies, predictive analytics, machine learning and AI frameworks.
Students receive career preparation through 1:1 mentoring, analytics portfolio building, internships, mock interviews and placement assistance.
AWS Academy, Microsoft Learn, Cisco Networking Academy, NASSCOM linkages, hackathons, expert sessions and industrial visits provide real-world data science exposure.
Approved BCA (Data Science) content from the reviewed website feedback documents.
Building Tomorrow's Technology Leaders. The Department of Computer Science & Engineering is committed to delivering rigorous, industry-aligned education with research excellence. Aravali College of Engineering and Management, Faridabad offers a BCA (Data Science) - an undergraduate programme that promises a wealth of opportunities for today's dynamic generation.
The department is fully equipped with the best intellectual capital and 9 state-of-the-art labs with high-speed internet (1 Gbps) and licensed software. Our main focus is to provide students with the latest technologies available in the market, keeping them abreast of emerging trends. Our faculty members hold M.Tech and Ph.D. qualifications (completed/pursuing) and actively contribute to research through publications in national and international journals.
Our vision is to "Evolve into a centre of excellence for education and research in Computer Science" through academic excellence, collaborative research, and value-added courses - producing highly competent and socially conscious IT professionals. Beyond knowledge and skills, our student association programmes aim to develop well-rounded personalities by inculcating values of truthfulness, integrity, team spirit, and a vibrant work culture.
To be a premier department in Data Science education, producing skilled professionals capable of transforming data into meaningful insights for industry and society.
M1: Provide strong foundations in Data Science, Machine Learning, and analytics tools.
M2: Develop practical expertise through real-world projects and datasets.
M3: Promote industry collaboration and certification-based learning.
M4: Encourage ethical data usage and analytical decision-making.
M5: Support innovation and continuous skill development.
Aravali College of Engineering and Management offers a specialized Bachelor of Computer Applications (BCA) program in Data Science with an approved intake of 120 seats. The course is designed to equip students with strong computing fundamentals along with advanced skills in data analysis, statistical methods, and machine learning. Key subjects include programming in Python and R, data visualization, database management, big data technologies, and predictive analytics.
The curriculum emphasizes practical learning through hands-on lab sessions, real-world datasets, projects, and internships. Students learn to collect, process, analyze, and interpret data to support decision-making. Project-Based Learning plays a vital role in enhancing analytical thinking and problem-solving skills.
With guidance from experienced faculty and exposure to modern tools such as Tableau, Power BI, and AI frameworks, students are prepared for careers as data analysts, data scientists, business analysts, and other data-driven roles in today's rapidly growing digital economy.
Approved BCA Data Science PEO alignment from the vision-mission document.
| PEO | Description | Aligned Department Mission Points | Justification |
|---|---|---|---|
| PEO 1 | Strong Technical Competence | M1, M2 | Builds strong foundations in Data Science, Machine Learning, and analytics tools along with practical expertise through real-world datasets and projects. |
| PEO 2 | Problem Solving & Innovation | M1, M2, M5 | Enhances analytical thinking and problem-solving using data-driven approaches while encouraging innovation and continuous skill development. |
| PEO 3 | Career Readiness & Professional Growth | M2, M3 | Supports employability through hands-on project experience, industry collaboration, and certification-based learning. |
| PEO 4 | Ethics, Teamwork & Leadership | M4 | Promotes ethical data usage, responsible decision-making, and professional conduct in data-driven environments. |
| PEO 5 | Lifelong Learning | M3, M5 | Encourages continuous learning, upskilling, and adaptation to evolving data science technologies and industry trends. |
3-Year Full-Time UG Programme
6 Semesters
120 Seats per batch
Affiliated to J.C. Bose University of Science and Technology (YMCA)
Why Choose BCA (Data Science)? A programme designed for the engineers of tomorrow, not yesterday.
Industry-Driven Curriculum (2026 Updated): Learn what companies actually use - not outdated theory. Courses aligned with real industry tools and technologies.
6-Month Industry Internship: Guaranteed hands-on experience with partner companies - work on real projects before you graduate.
Project-Based Learning Approach: Build applications, solve real problems, and create a strong project portfolio instead of just studying concepts.
Advanced Tech Labs: Work in labs designed for AI, Cloud, Cybersecurity, IoT, and Full-Stack Development using modern tools.
Career-Focused Mentorship (1:1 Guidance): Get continuous support for resume building, interview preparation, and career planning.
Strong Industry Exposure: Regular hackathons, expert sessions, and industrial visits to keep you aligned with current trends.
By the end of this programme, you will be able to design efficient algorithms and data structures for optimized problem-solving.
Develop full-stack web and mobile applications using modern technologies.
Apply Artificial Intelligence and Machine Learning to solve real-world problems.
Implement cybersecurity practices, including ethical hacking and network protection.
Graduates of Aravali College of Engineering and Management with a specialization in Data Science are well-prepared for data-driven roles in the IT and analytics industry, with strong growth potential based on skills and experience.
Competitive Entry-Level Packages: Rs. 3 - Rs. 6 LPA for fresh graduates in roles such as Data Analyst or Junior Data Scientist, depending on technical skills and project experience.
Higher Earning Potential: Opportunities to secure Rs. 7+ LPA and beyond with expertise in Machine Learning, Data Analytics, AI, and Big Data technologies, along with relevant certifications.
Skill-Driven Growth: Strong focus on data analysis, real-world projects, internships, and tools like Python, SQL, and Power BI, enabling faster career progression into advanced roles.
Semester 1 (Foundations): Mathematics - I (Calculus & Linear Algebra), Intelligent Systems, Problem Solving with C, Communication Skills, IKS.
Semester 2 (Core Basics): Mathematics - II, Data Structures, Object-Oriented Programming (C++/Java), Web Technologies.
Semester 3 (Programming Web Core): Programming with Python, Software Engineering, Computer Organization, Mobile Application Development, Advanced Database Systems, Cloud Computing.
Semester 4 (Systems): Intelligent System, Operating Systems, Computer Networks, Software Engineering, Design & Analysis of Algorithms, Statistics & Probability.
Semester 5 (Advanced Topics): IoT, Artificial Intelligence, NLP, Machine Learning, Data Mining & Warehousing, Data Analytics, Big Data Fundamentals.
Semester 6 (Industry Track, Capstone): Industry Internship (6 months), Deep Learning, IoT & Embedded Systems, Elective - III, Internship Report, Major Project, Entrepreneurship, Professional Ethics, Elective - IV, Project Viva Voce.
AI & Machine Learning: Neural networks, NLP, computer vision. Tools: TensorFlow, PyTorch, NLP, CV.
Data Science & Big Data: Data analysis, Hadoop, Spark, Power BI. Tools: Spark, Hadoop, Power BI, SQL.
Cybersecurity: Ethical hacking, penetration testing, forensics. Tools: Kali Linux, Forensics, Pen Test.
Cloud Computing & DevOps: AWS, Docker, Kubernetes, CI/CD. Tools: AWS, Docker, Kubernetes, CI/CD.
Full Stack Development: React, Node.js, MongoDB, Flutter. Tools: React, Node.js, MongoDB, Flutter.
Our faculty are the foundation of the department, bringing a strong blend of academic excellence, research depth, and industry exposure. With decades of combined experience, they are deeply committed to student success and play a vital role in shaping career-ready graduates.
The professors lead advanced research initiatives and curriculum development, with expertise in Artificial Intelligence, Machine Learning, Big Data, Cloud Computing, and Data Science. Associate professors focus on bridging the gap between theory and real-world application, specializing in areas such as Cybersecurity, Computer Networks, DevOps, Full Stack Development, and Database Systems.
Assistant professors bring a dynamic and hands-on approach to learning, focusing on emerging technologies such as Internet of Things (IoT), Embedded Systems, Natural Language Processing, Computer Vision, Blockchain, and Mobile App Development. Faculty expertise spans across modern domains including AI/ML, Big Data, Cloud Computing, Cybersecurity, IoT, and Blockchain.
At Aravali College of Engineering and Management, our laboratories are designed to provide a modern, industry-aligned learning environment. Equipped with advanced hardware, licensed software, and high-speed 1 Gbps internet connectivity, these labs enable students to gain hands-on experience across core and emerging technologies.
Our Labs: Programming Lab, AI & Machine Learning Lab, Computer Networks Lab, Cybersecurity Lab, Cloud Computing Lab, IoT & Embedded Systems Lab, Database Lab, Web Technologies Lab, and Project Lab.
All labs are supported by experienced faculty and technical staff, ensuring continuous guidance. Extended access hours enable students to learn, experiment, and innovate beyond the classroom.
At Aravali College of Engineering and Management, strong industry linkages ensure students gain practical exposure, global certifications, and real-world experience.
MoUs & Strategic Partnerships: AWS Academy, Microsoft Learn, Cisco Networking Academy, NASSCOM.
These partnerships enable access to industry-aligned curriculum, certification programs, and hands-on training resources.
Internship & Industry Exposure: Structured internship opportunities during the programme, collaboration with partner organizations, and real-world project experience for practical skills, industry understanding, and job readiness.
Project-Based Learning (PBL): Curriculum-integrated projects that enable students to design and implement real-world solutions.
Industry-Oriented Curriculum: Regular updates aligned with current technologies such as AI, Data Science, Cloud Computing, and Cybersecurity.
Certification-Driven Learning: Integration of globally recognized certifications to enhance job readiness and technical credibility.
Experiential & Hands-on Learning: Practical exposure through labs, live projects, case studies, and simulation-based learning.
Continuous Assessment & Feedback: Regular evaluations, reviews, and mentoring to ensure consistent academic progress.
Industry Interaction: Guest lectures, workshops, internships, and expert evaluations to bridge the academia-industry gap.
Innovation & Research Culture: Encouragement for hackathons, competitions, publications, and prototype development.
At Aravali College of Engineering and Management, the Mentor-Mentee System is a structured academic support framework designed to ensure personalized guidance, continuous monitoring, and holistic student development. It acts as a vital bridge between faculty expertise and student potential, enabling focused academic and career growth.
Objectives include personalized academic and career guidance, addressing academic/personal/professional challenges, enhancing student performance, retention and well-being, and strengthening faculty-student engagement and professional ethics.
Key features include personalized attention, career mentorship, skill development through workshops and expert sessions, and industry exposure through alumni and industry professional connections.
Placement Record till 2026: 90% Placement Rate, 10 LPA Highest Package, 6.2 LPA Average Package, and 50+ Recruiting Companies.
Our Recruiters (Core Technical): Google, Microsoft, Amazon, TCS, Infosys, Wipro, HCL, Accenture, IBM, Cognizant, Capgemini, Deloitte, Flipkart, Paytm, Zoho.
Data Science Career Roles (BCA): Junior Data Analyst, Data Analyst, Business Analyst, Data Visualization Analyst, Junior Machine Learning Engineer, AI/ML Intern / Trainee, Data Engineer (Entry-Level), Statistical Analyst, Research Assistant (Data Science/AI).
At Aravali College of Engineering and Management, industrial visits are conducted regularly to provide students with practical exposure, industry insights, and real-world understanding of modern technologies.
Date: October 2025
Students explored enterprise IT solutions, cloud-based platforms, and large-scale industry workflows, gaining insights into professional IT environments.
Date: February 2026
The visit focused on cybersecurity practices, digital initiatives, and government IT infrastructure, enhancing students’ understanding of public sector technologies.
Date: March 2026
Students gained exposure to software development practices, coding standards, and real-time project environments, strengthening their practical knowledge.
Approved feedback from BCA Data Science students.
I, Yash Sapra, a student of Aravali College of Engineering and Management pursuing BCA in Data Science, I am grateful for the excellent academic environment and learning opportunities provided here. The college offers highly interactive lectures, making complex concepts easier to grasp while encouraging active participation. The faculty is knowledgeable, supportive, and always ready to guide students toward success. Additionally, the college organizes various extracurricular activities, workshops, and competitions that not only enhance our skills but also provide a competitive edge in the industry. The blend of theoretical and practical learning ensures holistic development, preparing us for future challenges in the field of data science.
I, Priyanka Arora a Student in BCA (DS) program I am truly grateful to Aravali College of Engineering and Management for providing an exceptional learning experience. The faculty’s dedication, the supportive environment, and the constant encouragement have helped me grow academically and personally. The college’s resources, extracurricular opportunities, and career guidance have shaped my future. Proud to be a student of Aravali College of Engineering and Management.
I'm Akhil, a student of Aravali College of Engineering and Management, currently in BCA 6th semester. My experience at the college has been positive, especially in terms of academics, faculty, and infrastructure.
The BCA program is well-structured, covering essential subjects like programming, databases, and networking. Regular assignments and projects help in understanding concepts effectively. While the curriculum is strong, more industry-oriented learning and practical exposure would add great value.
The faculty members are knowledgeable and supportive. Many professors explain concepts clearly and are always approachable for doubts. Occasional guest lectures and workshops also enhance the learning experience. Overall, my journey at Aravali College has been enriching, and I look forward to applying the skills I've learned in my future career.
My name is Meenakshi, I am pursuing BCA from Aravali College of Engineering and Management.
Aravali College of Engineering and Management (ACEM) is an exceptional institution that offers a top-quality education and a supportive environment. With experienced faculty, modern facilities, industry exposure, and excellent placement opportunities, ACEM provides an outstanding college experience for students. With its exceptional faculty, state-of-the-art facilities, industry exposure, placement opportunities, and supportive environment, ACEM provides the ideal platform for students to thrive academically, professionally, and personally.
JCBUST, YMCA, Faridabad University Rank Holders from Aravali College of Engineering and Management, Faridabad.
| S.no | Student Name | Batch | Department | Rank |
|---|---|---|---|---|
| 1 | ANJALI PANDEY | 2020-2024 | CSE(AIML) | 1st |
| 2 | PIYUSH | 2021-2025 | CSE(AIML) | 1st |
| 3 | ANJUM BANO | 2022-2026 | CSE(AIML) | 1st |
| 4 | HARSH PRATYUSH SINHA | 2022-2026 | CSE(AIML) | 1st |
| 5 | GUNJAN | 2020-2024 | CSE | 1st |
| 6 | NITESH ARORA | 2022-2025 | BCADS | 1st |
| 7 | JATIN | 2021-2024 | BCADS | 1st |
| 8 | DEEPAK | 2020-2023 | BCA | 1st |
| 9 | KARAN GUPTA | 2020-2024 | CSE(AIML) | 2nd |
| 10 | PULKIT | 2021-2025 | CSE(AIML) | 2nd |
| 11 | ISHAN PRASHER | 2020-2024 | CSE(AIML) | 2nd |
| 12 | PRIYA JHA | 2022-2025 | CSE(AIML) | 2nd |
| 13 | LAKSHYA BHARDWAJ | 2022-2026 | CSE(AIML) | 2nd |
| 14 | HARSH PRATYUSH SINHA | 2022-2026 | CSE(AIML) | 2nd |
| 15 | GEETA MELKANI | 2021-2025 | CSE | 2nd |
| 16 | GAURI SRIVASTAVA | 2020-2024 | CSE | 5th (2nd Rank), 6th (3rd Rank) |
| 17 | ROHIT SINGH RAWAT | 2021-2024 | BCADS | 2nd |
| 18 | ASHMITA JHA | 2022-2025 | BCADS | 2nd |
| 19 | AMIT KUMAR | 2020-2024 | CSE(AIML) | 3rd |
| 20 | PRIYANSHU KUMAR CHOUBEY | 2021-2025 | CSE(AIML) | 3rd |
| 21 | VIKAS | 2021-2025 | CSE(AIML) | 3rd |
| 22 | DHAIRYA BHATIA | 2022-2026 | CSE(AIML) | 3rd |
| 23 | DIYA GUGLANI | 2022-2026 | CSE(AIML) | 3rd |
| 24 | SNEHA | 2021-2024 | BCADS | 3rd |
| 25 | SAURABH MAURYA | 2022-2025 | BCADS | 3rd |
Our modern campus infrastructure supports engineering education with specialized laboratories, workshop facilities, research spaces, and collaborative learning environments.
