Computer Science and Engineering Data Science
Why Choose CSE Data Science at ACE?
As the digital world becomes increasingly data-driven, the Department of CSE (Data Science) at ACE Engineering College addresses the surging demand for professionals skilled in big data analytics, AI, and intelligent decision-making. The department offers a comprehensive and future-ready B.Tech programme that builds strong foundations in data science through rigorous training in mathematics, statistics, machine learning, data visualisation, and cloud-based technologies.
With a dynamic curriculum aligned to industry requirements, students are exposed to tools like Python, R, OpenCV, Tableau, Oracle, and high-performance GPU-enabled systems. Faculty members with both academic and industry backgrounds lead students through theoretical foundations, hands-on labs, and impactful research projects. By integrating ethics, real-world applications, and high-end computing resources, the department nurtures the next generation of data professionals capable of solving complex challenges across industries.
Accreditation
Vision & Mission
Our Vision
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.Our Mission
- 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.
- The department is committed to providing education that keeps pace with the rapidly evolving landscape of AI and data science, using the latest tools and techniques to ensure industry relevance.
- By encouraging critical thinking, innovation, and socially responsible research, the department fosters a culture of ethical and impactful problem solving.
- Leveraging cutting-edge high-performance computing systems, students are empowered to process, analyse, and visualise vast data sets across various domains.
Curriculum Syllabus
R20 Regulation – CSE(DS)
R22 Regulation – CSE(DS)
R24 Regulation – CSE(DS)
Program Education Objectives
Program Specific Outcomes (PSOs)
- Demonstrate proficiency in data collection, preprocessing, visualisation, and statistical modelling using modern tools.
- Develop intelligent systems using machine learning and data-driven techniques for solving real-world problems across sectors.
Program Outcomes (POs)
- Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialisation to develop solutions to complex engineering problems.
- Problem Analysis: Identify, formulate, review research literature and analyse complex engineering problems reaching substantiated conclusions with consideration for sustainable development.
- Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for public health and safety, environment, culture, and cost.
- Conduct Investigations of Complex Problems: Use research-based knowledge including experiment design, data analysis, and interpretation to provide valid conclusions.
- Engineering Tool Usage: Select and apply modern engineering and IT tools, including modelling and simulation, with an understanding of their limitations.
- The Engineer and the World: Analyse societal, environmental, economic, and legal aspects while solving engineering problems, ensuring solutions are sustainable and inclusive.
- Ethics: Apply ethical principles, value diversity and inclusion, and adhere to national and international laws in professional practices.
- Individual and Collaborative Team Work: Work effectively as an individual and in diverse teams, demonstrating leadership and cooperation.
- Communication: Communicate effectively through documentation, presentations, and discussions, considering language, cultural, and learning differences.
- Project Management and Finance: Apply engineering and management principles to handle projects and team responsibilities efficiently.
- Life-long Learning: Demonstrate the ability to independently acquire new knowledge and adapt to emerging technologies with critical thinking and curiosity.
Faculty & Research
Infrastructure & Labs
The Department of CSE (Data Science) offers state-of-the-art laboratories equipped for practical learning and research in data science and AI:
Data Science Lab Equipped with high-performance Dell OptiPlex 7080 systems (Intel i7, 32GB RAM, NVIDIA RTX 2070 GPU) and tools like Python, R, Jupyter Notebook, and Tableau for data analysis and visualisation..
Big Data Analytics Lab Features systems configured for Hadoop, Spark, and Hive for scalable data processing and distributed computing.
AI & Deep Learning Lab GPU-enabled lab supporting deep learning frameworks such as TensorFlow, Keras, and PyTorch for advanced neural network modelling.
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Campus Interviews Conducted
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Campus Interviews Conducted
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Campus Interviews Conducted
500+
Campus Interviews Conducted
Our Tap Recuiters
Advisory Board Members
Department faculty
Dr.Ganti Krishna Sharma
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Dr.Ganti Krishna Sharma
See how to handle SVG images
Dr.Ganti Krishna Sharma
See how to handle SVG images
Department faculty
Dr.Ganti Krishna Sharma
See how to handle SVG images
Dr.Ganti Krishna Sharma
See how to handle SVG images
Dr.Ganti Krishna Sharma
See how to handle SVG images
Dr.Ganti Krishna Sharma
See how to handle SVG images
Dr.Ganti Krishna Sharma
See how to handle SVG images
Dr.Ganti Krishna Sharma
See how to handle SVG images
Students
Dr.Ganti Krishna Sharma
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Dr.Ganti Krishna Sharma
See how to handle SVG images
Dr.Ganti Krishna Sharma
See how to handle SVG images
Dr.Ganti Krishna Sharma
See how to handle SVG images
Dr.Ganti Krishna Sharma
See how to handle SVG images
Dr.Ganti Krishna Sharma
See how to handle SVG images
Parents
Dr.Ganti Krishna Sharma
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Dr.Ganti Krishna Sharma
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Alumni
Dr.Ganti Krishna Sharma
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Dr.Ganti Krishna Sharma
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Professional Bodies Members
Dr.Ganti Krishna Sharma
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Dr.Ganti Krishna Sharma
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Employers
Dr.Ganti Krishna Sharma
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Dr.Ganti Krishna Sharma
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Roll Of Honour
Aenugu Akshitha
H : No : 20AG1A6703
BATCH : 2020-2024
Events & Activities
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