B.Tech Data Science (In Association with upGrad Campus)
B.Tech. upGrad Campus - B.Tech. in Data Science programme at DBUU, is the prominent B.Tech. Data Science college in Dehradun acquaints engineering graduates to be trained and skilled data scientists. Now, counting on the collaboration with "upGrad," South Asia's largest EdTech company, DBUU is linked to improved growth and a bright future for students. The focus is on fundamental Data Science subjects and corresponding Computational Statistics, Mathematics, and Computer Science subjects. In addition, the programme introduces students to the varied application domains like Business, Finance, and Healthcare, wherein Data Science can be utilized to make educated decisions.
Dev Bhoomi Uttarakhand University (DBUU) is the best B.Tech. Data Science college in Dehradun, through the advanced and well-researched industry-oriented course curriculum, aims towards preparing the individuals with the knowledge and aptitude to perform intellectual data analysis which is a critical element in multiple real-world applications as well as the problems. The curriculum of B.Tech. in Data Science teaches the combination of Algorithm Development, Data Inference, and Technology to decipher complex problems analytically. The programme combines aptitudes in three primary areas of technology hacking skills, mathematical expertise, and business approach and understanding. This programme aims to equip students to use enormous amounts of data in innovative methods to develop business value. Hidden insights are carried to the forefront to allow businesses to make wiser enterprise decisions. B.Tech Data Science programme at DBUU, the best B.Tech Data Science college in Uttarakhand orients on the amalgamation of theoretical and practical classes and self-study during the preparation of datasets and programming of data analysis assignments.
B.Tech (Data Science) is in Association with upGrad Campus
Salient Features
- 17+ years of academic excellence
- Focus on student-centered learning
- Problem-based learning and industry-relevant curriculum
- Best placement opportunities to get placed in high-end and reputed companies
- Industrial training in reputable firms and organizations
- The privilege of 100% placement guidance and support
- Department-organized tech fests and hackathons
- Industry visits, seminars, workshops, and guest lectures by eminent researchers and industry practitioners
- Active student clubs and bodies
- The multi-cultural and vibrant teaching environment
Duration & Eligibility
4 Years
Candidates must have passed Class 10+2 exam from a recognised board with Physics, Chemistry and Mathematics as core subjects (with 50% aggregate marks in core subjects)
Fee Structure
Course Fee Structure |
|
| Course | Total Fee |
| Academic fee ( Per semester) | ₹ 80,000/- |
One Time Fee Structure |
|
| Application Fee | ₹ 1,200 (Non-Refundable) |
| Admission Fee | ₹ 5,000 (Non-Refundable) |
| Caution Money | ₹ 1,500 (Refundable) |
| University Enrollment Fee | ₹ 2,000 (Non-Refundable) |
Program Educational Objectives (PEO's)
| PEO-1 | To transform the graduates into engineering practitioners and managers, who would assist solve the industry's technical problems |
| PEO-2 | To nurture the students into the engineering professionals, developers or entrepreneurs engrossed in technology deployment, technology development, or engineering system execution in the industry |
| PEO-3 | To help them function in their occupation with social understanding and commitment |
| PEO-4 | To prepare them to interact with their peers in other professions in enterprise and community and contribute to the financial growth of the nation |
| PEO-5 | To inculcate in them an ethical perspective and shall demonstrate practical skills in management, teamwork, communication, and leadership |
| PEO-6 | To train them in problem-solving and critical thinking skills to form social, economic and sustainable impact |
Program Specific Objectives (PSO's)
| PSO-1 | To use computing theory, vocabularies and algorithms, as well as mathematical and statistical measures, and the principles of optimization to properly acquire and utilize data analysis |
| PSO-2 | To apply database administration, design, and execution principles and approaches to improve data display capabilities and decision-support procedures. Ability to critique the role of communication and analytics in sustaining business operations and functions |
| PSO-3 | To develop and operate appropriate data analysis models, evaluate the input rate, emanate insight from outcomes, and explore possible issues. Also, to manage big data sets into significant structures, including data profiling and quality measures |
Job Opportunities The Course Might Lead To
After completing the programme, the graduates will have career opportunities in Business, E-Commerce, Climatology, Biotechnology, Healthcare, Social Networking Companies, Genetics, and various other crucial areas. The different profiles on which the individuals can work are:
- Data Architects
- Data Visualizers
- Data Science Consultant
- Financial Modeler
- Data Engineers
- Data Ecologists
- Database Administrators
- Clinical and Pharmaceutical Analyst
Admission 2022-23