B.Sc (Honours) in Data Science and Analytics
B.Sc (Hons) in Data Science and Analytics provides a comprehensive understanding of the computer science domain coupled with Data Analytics and related programming.
B.Sc (Hons) in Data Science and Analytics provides a comprehensive understanding of the computer science domain coupled with Data Analytics and related programming.
B.Sc (Hons) in Data Science and Analytics provides a comprehensive understanding of the computer science domain coupled with Data Analytics and related programming. The program also offers courses such as Machine Learning, Artificial Intelligence, IoT, BlockChain technologies and other such cutting-edge technologies to prepare students for industry requirements. Topics in the area of statistics, like regression analysis and advanced statistics, are dealt to give the essence of the domain knowledge required for a data science professional, along with supporting courses. Courses on programming languages like C, C++, R and Python are
The program also encourages to undertake research projects to facilitate the gateway towards advanced research in data sciences.
| Title of the Course |
| Database Management System |
| Programming with C and C++ |
| Basic Mathematics I |
| Database Management System Lab |
| Programming with C and C++ Lab |
| Basic Mathematics I Lab |
| General English I |
| Kannada/ Hindi/ Sanskrit / Additional English I |
| Mind Management & Human Values - I |
| Title of the Course |
| Programming with R |
| Operating Systems |
| Basic Mathematics II |
| Programming with R Lab |
| Operating Systems Lab |
| Basic Mathematics II Lab |
| General English II |
| Kannada/ Hindi/ Sanskrit / Additional English |
| Project -I |
| Mind Management & Human Values - II |
| Title of the Course |
| Spread sheet Modelling |
| Distribution and Inference Theory |
| Python for Analytics |
| Spreadsheet Modelling LAB |
| Distribution and Inference theory LAB |
| Python for Analytics LAB |
| Social Networking or Financial Economics |
| Introduction To Cloud Computing |
| Indian Constitution |
| Title of the Course |
| Data Visualization using R and Python |
| Advanced statistics |
| Machine Learning |
| Data visualization using R and Python LAB |
| Advanced statistics LAB |
| Machine Learning Lab |
| E-Commerce / ಕರ್ನಾಟಕದ ಜಾನಪದ ಕಲೆಗಳು |
| Environmental Studies |
| Project II |
| Title of the Course |
| Deep Learning |
| Big Data Analytics / Internet of things |
| Forecasting Techniques / Financial Analysis |
| Emotional Intelligence / Entrepreneurship |
| Web Development |
| Deep Learning Lab |
| Big Data Analytics Lab/ Internet of things Lab |
| Regression Analysis Lab/ Financial Analytics Lab |
| Project |
| Title of the Course |
| Artificial Intelligence |
| Advanced Analytics / Marketing Analytics |
| Data Cleaning / NLP |
| Visual Narratives / शब्द से सेल्युलाईट |
| Software Engineering and Testing |
| Artificial Intelligence Lab |
| Advanced Analytics Lab / Marketing Analytics Lab |
| Data Cleaning Lab / NLP Lab |
| Project III |
| Title of the Course | |
| Design and Analysis of Algorithms | |
| Advanced Statistics | |
| Block Chain Technology | |
| Web Designing | |
| LAB | |
| Design and Analysis of Algorithms Lab | |
| Advanced Statistics Lab | |
| Research Methodology | |
| Research Project – I | |
| Title of the Course | |
| Web Analytics | |
| Predictive Analysis | |
| Computer Networking | |
| DSCE IV | |
| LAB | |
| Web Analytics Lab | |
| Predictive Analysis Lab | |
| Research Publication | |
| Research Project – II | |
Following are the prerequisites for a B.Sc (Hons) in Data Science and Analytics distance education
| BSc (Data Science and Analytics) | Year I | Year II | Year III |
|---|---|---|---|
| Registration Fees (Payable at the time of admission) | Rs. 500/- | - | - |
| Examination Fee / Year | Rs. 4,500/- | Rs. 4,500/- | Rs. 4,500/- |
| Course Fee | Rs. 15,000/- | Rs. 15,000/- | Rs. 15,000/- |
| Annual Fee | Rs. 20,000/- | Rs. 19,500/- | Rs. 19,500/- |
| Total Fee | Rs. 59,000/- | ||
Click on “Apply Now” and fill out the admission form online
Upload the required documents
You can pay using a Debit/Credit Card or Net Banking
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The minimum eligibility requirement for this program is a 12th board exam with a course in one of the following subjects:
A B.Sc (Hons) in Data Science and Analytics helps you gain the skills to extract valuable data insights from large datasets. This program prepares you to tackle real-world challenges by turning data into actionable knowledge, a skill employers across industries highly seek.
Yes, many institutions understand the challenges of career breaks. If you have a work gap, you can still apply for the program if you meet the eligibility criteria. Many students with diverse backgrounds, including those with career gaps, successfully transition into data science careers after completing this course.
Graduating from distance degree programs in Data Science and Analytics opens doors to various job roles such as data analyst, business analyst, and data scientist. These roles are available in finance, healthcare, marketing, and IT sectors, where data-driven decision-making is critical
The Bachelor of Science (Honours) in Data Science and Analytics course details cover core subjects like:
|
Job Title |
Job Description |
|
Research / Project Assistant / Junior Scientist |
In any research lab or institution, a research or project assistant assists with an assigned research project. He/she undertakes experiments and research with the team under the supervision of the project in charge. |
|
Drug Safety Associate |
In the medical of pharmaceutical industries, a drug safety associate is responsible for monitoring evaluating, and preventing adverse medication responses in patients. |
|
Clinical research associate |
Clinical research associates organize and collect data, collected during studies and field trials in biotechnology and pharmaceuticals. They also create collect and transmit technical data to customers designers and manufacturers. |
|
Statistician |
To assist organizations in research or business, statisticians typically handle data using various mathematical models and tools. |