A guide to BSc Data Analytics

A guide to BSc Data Analytics

A guide to BSc Data Analytics
Sandeep Nepal

BSc in Data Analytics is an undergraduate program designed to provide students with the necessary skills and knowledge to analyse, manage and interpret data. The course is ideal for students interested in data science and who wants to pursue a career in the industry.

Here's a guide to pursuing BSc in Data Analytics:

What is BSc Data Analytics?

BSc Data Analytics is an undergraduate program that teaches students how to collect, organise, analyse, and interpret data to support decision-making processes in various industries. This program combines computer science, statistics, and business management knowledge to develop students' data analysis and presentation skills.

The curriculum of a BSc Data Analytics program includes a mix of technical and business courses. Students learn about statistical methods, data mining techniques, database design, programming languages, and visualisation tools. They also learn about business processes, project management, and communication skills to present their findings and recommendations effectively.

The program also includes practical training to develop students' skills in real-life situations. Students participate in group projects, case studies, and internships to apply their knowledge to solve real-world problems.

BSc Data Analytics graduates can find employment in various fields, such as finance, healthcare, marketing, retail, and e-commerce. They can work as data analysts, business analysts, data scientists, data engineers, and database administrators.

Why choose a Data Analytics career?

Data analytics is a rapidly growing field, and choosing a career in data analytics can be an excellent choice for many reasons. Here are some reasons why someone might choose a career in data analytics:

  • High Demand: The demand for data analytics professionals is increasing in today's digital age. Organisations across industries are collecting vast amounts of data, and there is a need for professionals who can analyse and interpret this data to make informed business decisions.
  • Lucrative Salaries: Data analytics is highly specialised, and professionals in this field are in high demand. As a result, data analytics professionals can expect to earn competitive salaries and enjoy numerous benefits such as bonuses, stock options, and other perks.
  • Diverse Career Options: Data analytics offers many career options, and professionals can work in almost any industry. They can work in healthcare, finance, marketing, retail, and e-commerce. Depending on their skills and interests, data analysts can work as data scientists, business analysts, data engineers, or database administrators.
  • Growth Opportunities: The field of data analytics is constantly evolving, and professionals have the opportunity to continue their education and develop new skills. They can learn new data analysis techniques, programming languages, and data visualisation tools, among other skills.
  • Job Satisfaction: Data analysts often work on complex problems, and their work can significantly impact business decisions. Data analysts can find satisfaction in knowing that their work contributes to an organisation's success.
  • Flexibility: Many data analytics professionals have the option to work remotely, which can offer greater flexibility and work-life balance.

Eligibility required for BSc Data Analytics

The eligibility criteria for BSc Data Analytics may vary slightly depending on the college or university offering the program. However, here are the general eligibility requirements for pursuing a BSc Data Analytics degree in India:

  • Academic Qualifications: The candidate must have completed their 10+2 or equivalent examination with Mathematics as a compulsory subject.
  • Minimum Marks: Candidates need to score at least 50% or more in the qualifying examination to be eligible for admission to a BSc Data Analytics program.
  • Entrance Exam: Some colleges or universities may require the candidate to clear an entrance exam before being admitted to the program.
  • English Language Proficiency: Proficiency in English is a must for all candidates seeking admission to BSc Data Analytics programs.

Top colleges in India for BSc Data Analytics

The field of data analytics is rapidly growing in India, and many colleges and universities offer undergraduate programs in data analytics. Here are some of the top colleges in India for BSc Data Analytics:

  • Christ University, Bangalore
  • Amity University, Noida
  • Lovely Professional University, Jalandhar
  • St. Xavier's College, Mumbai
  • Manipal Academy of Higher Education, Manipal
  • Symbiosis Institute of Computer Studies and Research, Pune
  • Madras Christian College, Chennai
  • Indian Institute of Technology (IIT) Madras
  • Presidency University, Kolkata
  • Mount Carmel College, Bangalore

Career Scope after BSc Data Analytics

BSc Data Analytics is a degree that equips graduates with the necessary skills and knowledge to work with data and make sense of it. The field of data analytics is increasing, and many career opportunities are available for graduates. Here are some of the career paths that one can pursue after completing a BSc Data Analytics degree:

  • Data Analyst: A data analyst uses data to derive insights and make informed business decisions. They collect, analyse, and interpret data to identify patterns, trends, and relationships that can be used to improve organisational performance.
  • Business Analyst: A business analyst uses data to provide insights and recommendations that help organisations make informed decisions. They work with stakeholders to understand business needs and identify areas for improvement.
  • Data Scientist: A data scientist uses advanced analytical and statistical methods to solve complex business problems. They are responsible for developing and implementing algorithms that predict future trends and behaviour.
  • Database Administrator: A database administrator designs, develops, and maintains databases that store and manage data. They ensure that data is secure, available, and easily accessible.
  • Data Engineer: A data engineer is responsible for designing and maintaining data systems that can handle large volumes of data. They develop and implement data pipelines that extract, transform, and load data from various sources.
  • Data Visualization Specialist: A data visualisation specialist creates visual representations of data that non-technical stakeholders can easily understand. They use various tools and techniques to create charts, graphs, and dashboards that meaningfully convey complex data.
  • Data Quality Analyst: A data quality analyst ensures that data is accurate, complete, and consistent. They develop and implement quality control measures to ensure that data is of the highest quality.

Salary after BSc Data Analytics in India

The salary of a BSc Data Analytics graduate in India can vary depending on various factors, such as work experience, job role, industry, and location. Here are the approximate salary ranges for some of the famous job roles in the data analytics field in India:

  • Data Analyst: A data analyst with less than a year of experience can expect a starting salary of around Rs. 3 to 5 lakhs per annum. With 5 to 7 years of experience, the pay can increase to Rs. 12 lakhs annually.
  • Business Analyst: A business analyst with less than a year of experience can expect a starting salary of around Rs. 4 to 6 lakhs per annum. With 5 to 7 years of experience, the compensation can increase to Rs. 15 lakhs annually.
  • Data Scientist: A data scientist with less than a year of experience can expect a starting salary of around Rs. 6 to 8 lakhs per annum. With 5 to 7 years of experience, the compensation can increase to Rs. 20 lakhs annually.
  • Database Administrator: A database administrator with less than a year of experience can expect a starting salary of around Rs. 4 to 6 lakhs per annum. With 5 to 7 years of experience, the compensation can increase to Rs. 15 lakhs annually.
  • Data Engineer: A data engineer with less than a year of experience can expect a starting salary of around Rs. 5 to 7 lakhs per annum. With 5 to 7 years of experience, the pay can increase to Rs. 18 lakhs annually.
  • Data Visualization Specialist: A data visualisation specialist with less than a year of experience can expect a starting salary of around Rs. 3 to 5 lakhs per annum. With 5 to 7 years of experience, the salary can increase to Rs. 12 lakhs annually.
  • Data Quality Analyst: A data quality analyst with less than a year of experience can expect a starting salary of around Rs. 3 to 5 lakhs per annum. With 5 to 7 years of experience, the salary can increase to Rs. 12 lakhs annually.

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