What is Data Science?
Data Science is an interdisciplinary domain that comprises Maths, Programming Language, Statistics, Artificial Intelligence (AI), and Machine Learning (ML), to name a few of the many elements. Data Science helps decipher humongous data to deliver effective business decisions. Hence, job market for Data Science is flourishing. Did you know that according to US Bureau of Labour Statistics, Data Science jobs will grow by 36% between 2021 to 2031? So, Data Science is an amazing career path. Let’s learn more about Data Science, in-demand jobs and other interesting information.

Key Highlights

• Which are the in-demand jobs in Data Science
• How to build a successful career in the Data Science domain?
• What jobs in Data Science are available for freshers?
• Popular companies offering Data Scientist jobs

Which are the in-demand jobs in Data Science

• Data Scientist

Data Scientists are responsible for collecting raw data, managing and analysing it using their statistical, programming and mathematical skills. Businesses have several data sources and hence, collect huge amounts of data. The Data Scientist’s role is to draw meaningful inferences to make the right business decisions from unstructured data.

• Data Analyst

The primary job of a Data Analyst is to store, analyse, review and organise the data. Through statistical skills, Data Analysts will identify specific patterns that can solve business problems. Since they are also responsible for communicating the solutions and approach to solving business-related problems to various stakeholders, they must possess good communication skills.

• Data Science Engineer

Data Engineer’s job role primarily requires them to develop systems that will gather, store and analyse data to ensure identifying specific patterns from the data can become easier. Data Engineering is a bridge between Data Science and Data Analysis. Profound knowledge of Data Construction, Development, and Maintenance of Data Structures is imperative to build a successful career in this domain.

• Machine Learning Engineer

ML Engineers develop AI-enabled systems that automate prediction models. The job role involves continuously developing AI algorithms that make accurate predictions. For frictionless delivery, ML Engineers often team up with Data Scientists, Data Administrators, Data Analysts, etc. They also are involved with testing the findings to improve the existing models.

• Data Architect

Data Architects are professionals that create policies, protocols and models that will be followed when collating, storing, managing and accessing organisational data. In the usual business setup, the operation team in the company gathers and utilises data and the IT team stores and retrieves the information. So, a Data Architect plays the role of the designer and planner to bridge the gap between operations and IT.

How to build a successful career in the Data Science domain?
Students must start planning their academic journey to build a promising career in this flourishing domain. So, after completing your bachelor’s, you can plan your higher education by opting for Data Science study programs. You must remember that a well-ranked university and destination will be crucial in advancing your career. Depending on your area of interest, select a course that offers your choice of specialisation.
Here are some popular universities to pursue a master’s degree in Data Science

• The US
• Massachusetts Institute of Technology (MIT)
• Carnegie Mellon University
• University of California, Berkeley (UCB)
• University of Oxford
• Harvard University
• University of Toronto
• University of Washington
• Princeton University
• École Polytechnique Fédérale de Lausanne (EPFL)
• Georgia Institute of Technology

• The UK
• University of Oxford
• The University of Edinburgh
• Imperial College London
• University College London (UCL)
• King’s College London
• University of Edinburgh
• The London School of Economics and Political Science
• University of Bath
• University of Manchester

• Canada
• University of Toronto
• University of British Columbia
• Carleton University
• Ryerson University
• University of Waterloo
• HEC Montreal

• Australia
• University of Melbourne
• University of Queensland
• Monash University
• The University of Sydney
• The University of Technology Sydney
• The University of Adelaide

• Ireland
• University College Dublin
• National University of Ireland, Galway
• Trinity College Dublin
• University College Cork

What jobs in Data Science are available for freshers?
If your university has tie-ups with companies to offer campus recruitment, you can start with an internship.
Here are some in-demand career avenues available to freshers.

• Data Scientist
• Business Intelligence Professionals
• Data Analyst
• Data Warehousing Professionals
• Data Architects

Popular companies offering Data Scientist jobs

• Bosch
• Accenture
• Tata Consultancy Services
• Amazon
• IBM

So, you can start planning your academic journey to build a lucrative career in the Data Science domain. If a lack of funds is keeping you from pursuing your academic aspirations, you can opt for a loan for education. For overseas education, you can apply for an education loan for abroad studies. If you have any queries or want to know more about student loans, please contact us. We will be glad to assist you.