Opinion and Features
Almost every business in 2022, irrespective of its field, makes data-backed decisions to move forward.
The data science industry has emerged as one of the most prolific and crucial career domains that support the development and growth of other industries.
Considering a career in data science is a great decision, especially with the kind of job diversity and prospects available in the industry.
The easiest way to enter the global data science industry is to enrol in a relevant programme like the MSc Data Science, AI and Digital Business programme at GISMA Business School.
Before we share more info on this course, let’s do a deep dive into what the data science industry can offer you and what kind of preparation you would need to learn data science and establish a career.
What is data science?
Simply put, data science is the study of different sets of data and information that originate from different sources like markets or business environments. Data science involves the processing of large volumes of data to derive meaningful patterns and insights that can drive business decisions.
Although an actual data science cycle can be fairly complex, you can broadly divide it into 5 primary categories:
What is a data scientist?
Data scientists are the professionals who are involved in one or more stages of a data science cycle. They use different data gathering, processing and analytical techniques to deliver important insights to business stakeholders.
As a data scientist, you get to use your expertise in arithmetics, statistics and data modelling to manage huge volumes of data and uncover business solutions.
What does a data scientist do?
Most data scientists work towards developing data-driven business solutions or insights which can improve company performance or revenue. However, the exact job role of a data scientist is company-specific and can differ from one organisation to another.
These are some common duties of a data scientist:
What are the benefits of opting for a career in data science?
Additionally, you can also look forward to the following career benefits if you choose to become a data scientist.
If you are among those who easily get bored of their jobs, a data science career path can be perfect for you!
Data scientists work on many interesting business problems, and it can be satisfying to see the result your work has on your company.
What kind of career opportunities can you expect as a data scientist?
Career diversity is one of the primary advantages of choosing data science as your career path. As a data scientist, you will be privy to a large number of exciting jobs and positions across different industries.
Since data science is relevant across different domains, your professional background can also make it easier to switch career domains later on.
Here are some of the most common data scientist positions that are available in the industry today:
What is the future of data science?
As a data science career enthusiast, you can look forward to many exciting developments within the data science industry in the future. You can expect machine learning techniques and AI algorithms to be more mainstream within data science.
A lot of data science experts also predict that the domain will become more specialisation-driven and will sprout many new data science sub-domains. Other future trends predicted within the industry include newer data labelling techniques and faster data processing operations.
How can you become a data scientist?
With the immense career scope of data science, there’s no better time than now to join the industry. Since a data scientist career can be fairly technical, you should ensure you develop all the relevant skills and technical expertise required for the job.
There are several ways to acquire this expertise, including:
What is the most important data science skill set you need to become a data scientist?
You can divide the broad spectrum of data scientist skills into two main categories—technical skills and soft skills.
Technical skills refer to the actual industry knowledge and expertise as well as data processing and analytical techniques. They include:
Data scientists also need a wide range of soft skills to grow and excel in their careers. These include:
What kind of data science tools should you learn to become a data scientist?
Here are some of the latest tools for data science that will be popular in 2022:
Data science modelling and processing tools are constantly evolving and becoming faster, more efficient and accurate.
As a data scientist in 2022, you would be expected to keep up with the latest tools and techniques used in the industry and contribute to the development of new ones.
How can you get started in data science?
As we mentioned earlier, enrolling in a good data science and machine learning programme can be a good way to enter the data science industry.
The MSc Data Science, AI and Digital Business programme offered by the GISMA Business School has a particularly comprehensive curriculum and is an ideal fit. The programme gives you a competitive advantage within a global data science company or an AI development organisation.
The programme equips you to work for any global company or start-up and help them grow their operations through data-backed business decisions. It can also open up career opportunities in ancillary fields like cybersecurity, Big Data and cloud computing.
Click here to enrol in this data science programme at GISMA today!
Frequently asked questions
Question 1: What are some of the most common prerequisites for the data science programme at GISMA?
Here are the entry criteria for enrolling in the data science master’s programme at GISMA:
Question 2: What will I learn through the data science course?
Through the data science programme at GISMA, you would be introduced to the basics of data analytics and processing. Here are some of the subjects included in the course curriculum:
Question 3: How long is the data science programme at GISMA?
You can complete the programme in 12 to 24 months.
Question 4: Do I need to be proficient in maths to pursue the data science programme?
While you do need a fair amount of mathematical understanding to comprehend statistical analytics, you don’t need significant expertise in maths to complete the programme.
Question 5: Do I need to know computer programming to become a data scientist?
Yes. Computer programming is an essential skill to run many data analytics platforms and tools as a data scientist. However, the course can introduce you to the relevant programming skills if you don’t have prior experience.
Question 6: What are some of the future data science qualifications I can explore after this programme?
You can look up several industry-standard post graduate certifications in data science after this programme to take your career forward.
- This article was written by Sweha Hazari.