Is a B.E in Data Science Better Than a B.Sc in Data Science?
Both B.E (Bachelor of Engineering) and B.Sc(Bachelor of Science) in Data Science are similar, but with slight differences:
Here's a table comparing B.E vs B.Sc in Data Science:
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Aspect
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B.E (Bachelor of Engineering) in Data Science
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B.Sc (Bachelor of Science) in Data Science
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Focus
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Engineering and application-based learning
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Theoretical concepts and research-oriented approach
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Duration
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4 years (8 semesters)
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3 years (6 semesters)
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Curriculum
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Includes software development, AI, ML, and big data engineering
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Focuses on statistics, programming, and data analysis
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Mathematical Depth
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Moderate to High (Applied Mathematics & ML Algorithms)
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High (Statistics, Probability, and Advanced Mathematics)
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Technical Skills
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Covers programming, cloud computing, and database management
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Emphasizes data visualization, data mining, and analytics
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Programming Languages
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Python, R, Java, C++, SQL, Hadoop, Spark
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Python, R, SQL, Excel, Tableau
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Career Scope
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Suitable for technical and software development roles
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Suitable for research, analytics, and business intelligence roles
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Job Roles
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Data Scientist, Machine Learning Engineer, AI Engineer, Big Data Engineer
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Data Analyst, Business Intelligence Analyst, Research Scientist
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Salary Range (India)
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₹6 - ₹20 LPA
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₹4 - ₹12 LPA
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Higher Studies
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M.E/M.Tech, MBA in Analytics, MS in AI/ML
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M.Sc in Data Science, MBA in Business Analytics, Ph.D.
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Best For
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Students interested in engineering & AI development
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Students inclined toward statistics & analytical research
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Key Takeaways
- B.E. in Data Science is ideal for those interested in software development and AI-driven solutions.
- B.Sc in Data Science is best for students focusing on statistical modeling, data analysis, and research.
Both degrees offer good career opportunities, and the choice depends on your interest in practical vs theoretical learning.
Admission Criteria and Eligibility
The eligibility criteria for B.E in Data Science programs are:
- Educational Background - 10+2 with science subjects. ( Particularly in Mathematics and Physics).
- Entrance Examinations - National or State-level engineering exams such as JEE Main or Karnataka CET.
- Minimum Marks - A specified aggregate percentage in the qualifying exams based on the college’s requirements.
Before taking admissions, it is advisable that the students consult individual college websites for specific eligibility criteria and admission process.
Which Entrance Exams are Required for B.E Data Science Admission?
Admission to B.E Data Science programs in Bangalore is based on various national, state, and university-level entrance exams. Below are the key exams and their details:
- KCET – For Karnataka students
- COMEDK UGET – For non-Karnataka students applying to private colleges
- JEE Mains – For admission into NITs and some private universities
- University-Specific Exams – Like PES Scholastic Aptitude Test (PESSAT), RV College entrance exams, etc.
Key Data Science Subjects You Need to Master in 2025
The B.E in Data Science curriculum is designed in such a way that it incorporates both foundational and advanced topics covered. Below mentioned are the major topics covered in course:
- Mathematics and Statistics - It gives a solid base for data analysis and algorithm development
- Programming Languages - Focuses on programming languages such as Python and R, which are essential for data manipulation and analysis.
- Data Structures and Algorithms - Focuses on data organization and processing techniques.
- Machine Learning - Covers supervised and unsupervised learning, neural networks and deep learning methodologies.
- Big Data Technologies - It Introduces tools like Hadoop and Spark which helps in managing and analyzing large datasets.
- Data Visualization - Techniques like representing data insights and using tools like Tableau and Power BI.
Industries such as finance, healthcare, e-commerce and manufacturing are looking for data science professionals to enhance operations, optimize the process and drive innovation.
What are the Eligibility Criteria for B.E Data Science in Bangalore?
The eligibility criteria for Top BE in colleges in Bangalore are:
- Educational Background - 10+2 with science subjects. ( Particularly in Mathematics and Physics).
- Minimum Marks: Typically 50-60% aggregate in 12th grade (varies by college).
- Entrance Examinations - National or State-level engineering exams such as JEE Main or Karnataka CET.
- Minimum Marks - A specified aggregate percentage in the qualifying exams based on the college’s requirements.
Before taking admissions, it is advisable that the students consult individual college websites for specific eligibility criteria and admission process.
How much does a B.E Data Science course cost in Bangalore?
The cost of pursuing a B.E in Data Science in Bangalore varies based on the type of institution, scholarships, and other factors. Below is a general fee structure:
(Note: This is not an Exact Value. It may Vary)
1. Government Colleges
- Fee Range: ₹1,00,000 – ₹2,50,000 (total for 4 years)
- Lower tuition fees due to government subsidies
- Admission based on entrance exams like KCET
2. Private Colleges
- Fee Range: ₹6,00,000 – ₹15,00,000 (total for 4 years)
- Higher fees due to advanced infrastructure, faculty, and placement support
- Admission through entrance exams like COMEDK UGET, JEE Mains, or direct admission
3. Scholarships & Financial Aid
- Merit-based scholarships: Offered by universities based on entrance exam scores
- Government scholarships: Available for SC/ST/OBC and economically weaker sections
Education loans: Easily accessible for students through banks and financial institutions
Curriculum and Skill Development
The B.E in Data Science curriculum is designed in such a way that it incorporates both foundational and advanced topics covered. Below mentioned are the major topics covered in the course:
- Mathematics and Statistics - It gives a solid base for data analysis and algorithm development
- Programming Languages - Focuses on programming languages such as Python and R, which are essential for data manipulation and analysis.
- Data Structures and Algorithms - Focuses on data organization and processing techniques.
- Machine Learning - Covers supervised and unsupervised learning, neural networks and deep learning methodologies.
- Big Data Technologies - It Introduces tools like Hadoop and Spark which helps in managing and analyzing large datasets.
- Data Visualization - Techniques like representing data insights and using tools like Tableau and Power BI.
Industries such as finance, healthcare, e-commerce and manufacturing are looking for data science professionals to enhance operations, optimize the process and drive innovation.
Career opportunities are available after a B.E in Data Science?
Top Hiring Companies: Google, Amazon, Microsoft, TCS, Infosys, IBM, Flipkart, Paytm, and AI-driven startups.
Growing Fields: AI, healthcare analytics, fintech, autonomous vehicles, and IoT.
Freelance & Remote Opportunities: Many companies hire data science professionals for global remote projects.
Here's a detailed table on Career Opportunities After B.E in Data Science:
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Job Role
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Responsibilities
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Average Salary (India)
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Career Growth & Opportunities
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Data Scientist
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- Collect, analyze, and interpret large datasets
- Develop predictive models using ML
- Work on AI-driven insights for decision-making
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₹8 - ₹20 LPA
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High demand in IT, finance, healthcare, and e-commerce; opportunities to become a Senior Data Scientist or Chief Data Officer
|
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Machine Learning Engineer
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- Build ML models and deploy AI applications
- Work on deep learning, NLP, and computer vision
- Optimize algorithms for scalability
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₹7 - ₹18 LPA
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Opportunities in AI-driven companies, R&D roles, and advancement to AI Architect or Research Scientist
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Data Analyst
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- Interpret and visualize data trends
- Create dashboards and reports
- Assist businesses in decision-making
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₹4 - ₹10 LPA
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Entry-level role with opportunities to move into Data Science, Business Analytics, or BI roles
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|
AI Engineer
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- Develop AI models for automation and intelligence
- Work on neural networks, deep learning, and chatbots
- Integrate AI into business processes
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₹8 - ₹25 LPA
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Huge scope in AI startups, robotics, and automation companies, leading to AI Researcher or AI Architect positions
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Big Data Engineer
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- Manage and process large-scale datasets
- Work with Hadoop, Spark, and NoSQL databases
- Optimize data pipelines for efficiency
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₹6 - ₹16 LPA
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High demand in cloud computing, fintech, and data-driven industries; growth to Data Architect or Cloud Engineer roles
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Business Intelligence Analyst
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- Analyze business trends and provide insights
- Work with BI tools like Tableau, Power BI
- Help companies optimize performance using data
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₹5 - ₹12 LPA
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Strong demand in corporate firms; can grow into roles like BI Manager or Data Science Consultant
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Conclusion
Pursuing a B.E. in Data Science in Bangalore offers a complete education that has a mixture of both theoretical foundations with practical applications. The city’s innovative tech environment provides suitable opportunities making sure that graduates are well-prepared to meet the increasing demands of the data science field. With multiple esteemed institutions offering exciting specialised programs, students can choose their education to align with their career aspirations, making Bangalore a top destination for data science education.
