Introduction to Data Science
Data Science is a technology that goes behind handling and working with data in the 21st century. Data Science concepts have proved to be a pinnacle in the last couple of years with the onset of Artificial Intelligence and Deep Learning.
The core foundation of Data Science lies in the aspect of how insights can be drawn about using raw and unstructured data. In the world that is increasingly becoming a digital space, organisations deal with zettabytes and yottabytes of structured and unstructured data every day. Evolving technologies have enabled cost savings and smarter shortage spaces to store critical data. Data Science is one such technology that is viable and cost-efficient for extracting the genuine data and storing it in a proper and secured format.
Few lines about B.Sc Data Science
B.Sc Data Science is a 3-year full-time course that is divided into 6 semesters. The aim of the course is to train the students on multi-disciplinary subjects like Statistics, Big Data Analytics, Machine Learning and related aspects of data mining and data interpretation. The course imparts the skills required to study, analyse and predict solutions across various sectors like manufacturing, healthcare, banking finance, marketing, business strategies, etc.
The course trains the students to handle large sets of data and analyse them for developing new business strategies and business development ventures.
Eligibility for B.Sc Data Science
The students who have passed PUC or 10+2 with minimum 40% aggregate from a recognised board are eligible to apply for B.Sc Data Science course.
Admission Procedure
The students can take admission to B.Sc Data Science by two modes of admission. The first one is merit-based admission and second one is direct admission. Let’s discuss in detail about them
1. Merit-Based Admission
There are many top and reputed educational institutes that conduct institution-based entrance exams for B.Sc Data Science course, such mode of admission is called merit-based admission. The colleges and universities will have a limited number of merit seats and they are allotted to the students who qualify the entrance exam. The main motto of the entrance exam is to filter out the serious and hardworking students from the group of non-serious candidates. The fees for merit-based admission is nominal.
2. Direct Admission
Another mode of admission to B.Sc Data Science is known as Direct admission. The students have an option to take admission to B.Sc Data Science to their desired colleges through direct admission under management quota. The main advantage of this mode is that the students are not required to attend any of the institution-based entrance exams for admission. They can directly take admission in their desired college even before the starting of the academic year. The fees are little high for direct admissions, the students who are interested to take direct admissions are required to contact Galaxy Educational Services for more details about direct admissions.
Syllabus for B.Sc Data Science
The students of B.Sc Data Science will be studying the following subjects in their course duration:
| Sl. No. | Subjects of Study |
|---|---|
| 1 | Linear Algebra |
| 2 | Basic Statistics |
| 3 | Programming with C |
| 4 | Probability and Inferential Statistics |
| 5 | Discrete Mathematics |
| 6 | Data Structures and Programme Design in C |
| 7 | Computer Organisation and Architecture |
| 8 | Data Ware housing and Multidimensional Modelling |
| 9 | Object Oriented Programming in Java |
| 10 | Database Management Systems |
| 11 | Operating Systems |
| 12 | Design and Analysis of Algorithms |
| 13 | Machine Learning |
| 14 | Cloud Computing |
| 15 | Operation Research and Optimisation Techniques |
| 16 | Time Series Analysis |
| 17 | Introduction to Artificial Intelligence |
| 18 | Big Data Analytics |
| 19 | Data Visualisation |
| 20 | Python Programming |
| 21 | Reinforcement Learning |
| 22 | Supply Chain and Logistics Analytics |
| 23 | Healthcare Analytics |
| 24 | Software Quality Management |
| 25 | Econometrics |
| 26 | Tensor Flow for Deep Learning Research |
| 27 | Marketing and Retail Analytics |
| 28 | Financial Analytics |
| 29 | Social Media Analytics |
| 30 | E-Commerce Analytics |
| 31 | Visualisation techniques |
| 32 | HR Analytics |
Career and Scope for B.Sc Data Science
The B.Sc Data Science course is highly popular among the students in India and Abroad because of its increasingly high demand and diverse future scope in tech companies, consultancies, market research companies and energy sectors. In terms of career, data science is considered as one of the trendiest and most promising courses and many students are attracted to this interdisciplinary course. The B.Sc Data Science students who are interested in higher studies can pursue M.Sc Data Science or M.Sc Data Analytics courses after the completion of their degree.
With the large amount of data available all around us, skilled professionals are required to convert this raw data into a business development opportunity. The skilled professionals with a B.Sc Data Science degree are required to analyse this random and raw data into meaningful information using skills and knowledge of data science technologies and techniques.
Job Roles available after B.Sc Data Science
Some of the job roles are:
- Data Scientist
- Process Analyst
- Data Solutions Analyst
- Business Analyst
- Statistician
- CRM Analyst
- Business Intelligence Analyst
- Data Architect
- Data Mining Engineer
- Database Administrator
Salary Trend
The B.Sc Data Science students are highly paid individuals across all the tech companies. The average fresh B.Sc Data Science student will be earning nearly around 6 lakhs to 8 lakhs per annum. The experienced professionals will be earning around 10 lakhs to 12 lakhs per annum.
Top Companies hiring B.Sc Data Science Students
Some of the top companies hiring B.Sc Data Science Students are:
- Accenture
- SAP
- IBM
- NTT Data
- MindTree
- Cognizant
- Capgemini
- HCL Technologies
- HP
- Goldman Sachs
- Amazon
Concluding Words
The B.Sc Data Science is one of the trendiest careers in recent years that is ruling the tech world. Data is considered as the costliest element than gold in today’s tech world. We have abundant data around us that is raw and requires to be interpreted and given a proper shape. The B.Sc Data Science students are skilled professionals who have the knowledge and skill to interpret this data and give it a shape, so that the companies can use them for new business opportunities and business strategies. The data interpretation requires special skill and knowledge and the companies are in need of such skilled professionals who are capable to crack raw data available and are ready to pay handsome salaries.
The demand for B.Sc Data Science students is in large numbers in many tech companies. They are ready to pay decent salaries for B.Sc Data Science students for their skill and knowledge. The students who feel interested in juggling with data can join the B.Sc Data Science course to get paid handsome salaries and expect excellent career growth.