What is CSE Data Science?

CSE Data Science is an engineering program combining computer science, mathematics, and statistics to analyze data, build predictive models, and derive insights for real-world decisions.

What makes this program unique at Acharya?

The program is interdisciplinary and skill-oriented, including programming, statistics, machine learning, analytics, real-world case studies, industry exposure, and EC-Council certification opportunities.

Which subjects are covered in CSE Data Science?

Students learn data analysis, visualization, predictive modeling, machine learning, deep learning, knowledge representation, AI techniques, and data-driven decision-making methods.

What is the course duration?

The CSE Data Science program is a four-year Bachelor of Engineering degree affiliated with VTU, designed to provide strong technical and analytical foundations.

What career opportunities are available CSE Data Science?

Graduates can work as Data Scientists, Data Engineers, Machine Learning Engineers, Data Analysts, Business Analysts, or Data Architects across various industries.

Is coding required for this CSE Data Science course?

Yes, programming skills are essential. Students use languages like Python and SQL to manipulate, analyze, and visualize large datasets and build predictive models.

Why choose CSE Data Science as a career?

Data Science is in high demand globally, as organizations rely on data-driven decisions in industries like finance, healthcare, technology, and business analytics.

Are scholarships available for Data Science students?

Yes, Acharya offers merit-based and need-based scholarships for CSE Data Science students, including partial support to encourage academic excellence.

Best Data Science Engineering College in Bangalore, India

The B.E. in Computer Science & Engineering (Data Science) program at Acharya Institute of Technology prepares students to harness the power of data to drive intelligent decision-making and innovation. In an era dominated by Artificial Intelligence and Big Data, the program integrates core computer science principles with advanced data analytics and AI technologies to develop future-ready engineers.

Students build strong foundations in programming, algorithms, and computing systems while gaining specialized expertise in data analytics, machine learning, artificial intelligence, and big data technologies. Through hands-on learning, real-world projects, and industry exposure, the program enables students to transform complex data into meaningful insights and scalable technology solutions across industries, making it a preferred choice for students searching for the best Computer Science & Engineering college in Bangalore.

Why Choose Computer Science & Engineering (Data Science) at Acharya?

Industry-oriented curriculum integrating computer science, data analytics, AI, and big data technologies
Hands-on learning with tools such as Python, R, SQL, Hadoop, Spark, TensorFlow, Power BI, Tableau, and cloud platforms
Skill-oriented Value Added Programs (VAPs), workshops, and industry certifications
Exposure to emerging technologies including machine learning, deep learning, NLP, computer vision, and data engineering
Opportunities to participate in hackathons, bootcamps, technical workshops, and innovation challenges
Continuous engagement with industry experts, alumni, and research mentors
Strong focus on implementation-driven learning and real-world problem solving

Research & Innovation

The department encourages a research-oriented learning culture where students actively participate in innovation and data-driven problem solving. Students gain research exposure through:

Faculty-guided research projects
Capstone projects addressing real-world data challenges
Technical paper presentations and conferences
Participation in interdisciplinary research initiatives

These opportunities strengthen analytical thinking, experimentation skills, and the ability to develop innovative data-driven solutions.

Experiential Learning

The program emphasizes experiential learning through practical laboratories, projects, and industry interaction. Students gain hands-on experience through:

Data analytics and machine learning laboratories
Mini projects and industry-focused capstone projects
Real-world datasets and data-driven case studies
Hackathons, coding competitions, and innovation challenges
Workshops and expert sessions on emerging technologies

This practical exposure ensures students develop strong technical skills and industry-ready competencies.

Academic Approach

The department follows an Outcome-Based Education (OBE) framework with a strong emphasis on industry relevance and practical learning. Key academic practices include:

Project-Based Learning (PBL)
Industry-integrated mini and capstone projects
Case studies and data-driven problem-solving exercises
Value-added programs and expert lectures
Continuous mentoring and technical skill development

Students also gain expertise in emerging domains such as:

Artificial Intelligence & Machine Learning
Big Data Analytics
Data Engineering and MLOps
Natural Language Processing (NLP)
Computer Vision and Time Series Analysis

Student Development & Activities

Students actively participate in technical and professional development activities beyond the classroom. The department regularly organizes:

Industry workshops and expert seminars
Hackathons and coding competitions
Certification programs and technical bootcamps
Alumni mentoring sessions and career guidance initiatives

These activities help students build leadership, teamwork, and innovation capabilities while strengthening their professional readiness.

Career Pathways

Data Science is one of the fastest-growing technology domains worldwide, offering strong career opportunities across industries. Students find opportunities with leading companies such as Infosys, Accenture, Cognizant, Vodafone, MuSigma, Nineleaps, and other global technology firms. The program also provides a strong foundation for higher education, research, and entrepreneurial ventures in data-driven technologies. Graduates can pursue roles such as:

Data Scientist
Data Analyst
Machine Learning Engineer
AI Engineer
Big Data Engineer
Business Intelligence Analyst
Data Engineer
MLOps Engineer

Program Brochure

Program Overview

Duration : 4 Years
Eligibility : 10+2 with PCM/PMC/PME + English, min 45%. Age 17+.
Entrance Quota : CET/ COMED K / JEE

Program Fee

Refer offer letter for actual fee
Inclusions : Tuition Fee, University Registration, Eligibility Fee, Miscellaneous Fee, Laboratory Fee, Library Fee and Sports Fee.
Exclusions : Uniform & Stationery.
Examination fee as prescribed by the University / Board.
Note : Students are offered complimentary Laptop, OBT, AMCAT/Cocube, Global Immersion Program, Softskill training, Domain training & Linkedin Learning Licence.

Course Content

Course Outcomes

What is Computer Science Engineering (Data Science)?

Computer Science Engineering (Data Science) is an undergraduate engineering program that combines computer science, statistics, and mathematics to analyze data and derive meaningful insights for decision-making. The course focuses on handling large datasets, predictive modeling, and analytics.

What makes the Data Science program at Acharya Institute of Technology unique?

The program is skill-oriented and interdisciplinary. Students learn programming, statistics, machine learning, and analytics along with real-world case studies. The curriculum also includes industry exposure and certification opportunities through collaboration with EC-Council.

What subjects are covered in this course?

Students study:

Data analysis & visualization
Machine learning and artificial intelligence
Predictive modeling
Deep learning
Knowledge representation
Data-driven decision making

What technologies do students learn?

Students work with modern big-data technologies such as Hadoop, Spark, distributed computing frameworks, and large-scale data processing systems.

What is the duration of the course?

The program is a 4-year Bachelor of Engineering degreeaffiliated with VTU.

What career opportunities are available after Data Science engineering?

Graduates can work as:

Data Scientist
Data Engineer
Machine Learning Engineer
Data Analyst
Business Analyst
Data Architect

Is coding required for Data Science?

Yes. Programming knowledge is important. Languages such as Python and SQL are commonly used for handling and analyzing data.

What is the eligibility for admission?

Students must pass 10+2/PUC with Physics and Mathematics and one of Chemistry/Biology/Computer Science/Electronics with the required marks as per VTU regulations.

What practical training do students receive?

Students receive hands-on training through labs, workshops, seminars, projects, and industry-mentored research work.

Why is Data Science a good career?

Data Science professionals are in high demand globally because organizations rely on data-driven decision making across industries such as finance, healthcare, and technology.

Best Data Science Engineering College in Bangalore - AIT