The new age of Engineering: Data Science

There is an enhancement in human interaction with technology. This has led to the difficulty of measuring the data that gets generated daily. With data becoming indispensable these days, the use of data science is marking its presence in digital transformation. The humongous amount of data needs to be evaluated, processed, stored, and analysed, so that it can be interpreted and presented accurately. Data Science makes it easy to collect, process and present data in a better and visually appealing format.

With emerging technologies in this field, students have the option of creating rewarding careers in this sector. New branches of scientific research and technological studies are being introduced in the education sector, so students are opting for contemporary, futuristic career options. With the emerging trends of the 21st century, data science is the perfect combination of machine learning, data analysis, computer science, and information science. This makes the field more exciting and challenging at the same time.

Top industries hiring Data Scientists

The amount of data generated nowadays is surprising. In the coming years, data generation will increase exponentially; thus, the need for well-trained data scientists will grow. More businesses plan to invest in this booming sector every day. Here is a list of some areas where data scientists can reap endless rewards:

• Retail Sector: Its respondents get a competitive advantage through data science applications and analytics. Retailers can use data science parameters to generate better shopping experiences for customers.

• Construction: This sector also opens avenues for data scientists. There is a dire need for experts to track work, manage expenses, etc. Data scientists help make better decisions, leading to the timely completion of big projects. 

• Pharmaceuticals: The pharma industry is also emerging as an industry where the use of data science and analytics is increasing. Data scientists read, evaluate, monitor, and perform the analyses, which are essential to reduce the risk of health issues and directly impact the state of human wellbeing.

• Communication and Media: Apps like Spotify, Sound Cloud, etc., use Big Data Analytics to gather and analyse users’ data. It helps to give personalised music recommendations. Thus, communication and media are other sectors that require the extensive use of data science.

• Transportation: In the transportation industry, apps deal with the formulation of statistical data to map journeys and personalised details of a user. Data sciences can thus help change how transportation operates in many countries.

• Education: Data science in the education sector has many benefits. Universities are now taking the initiative to incorporate data science learning and have a proper management structure to track students when they login to the system. It helps to measure the effectiveness of class, performance, and competencies.

These are some industries where we can see active applications of data science. Apart from these, there are other sectors such as manufacturing, natural resources, energy, utilities, and outsourcing that use data science elements. The future will bring more usage of this exciting yet challenging field and will give more career options to budding data scientists.

Career options  

The field of data science offers various promising career options to enthusiastic candidates. Here are a few positions a student can look for:

• Data Architect and Administrator
• Data Engineer
• Machine Learning Engineer
• Statistician and Mathematician
• Data Analyst
• Data Scientist
• Business Analyst
• Marketing Analyst
• Clinical Data Managers

Build a strong career in data science at Shoolini University

Shoolini University is India’s top research-based university, offering brilliant options to students for pursuing data science programmes. For the global academic curriculum, Shoolini’s engineering programmes have been awarded ‘Diamond Rating’ by ranking agency QS I- Gauge. The engineering curriculum of Shoolini is supported by industry giants like Microsoft and AWS Academy to provide better platforms and certifications to students. Students interested in this emerging field can start their professional degree by enrolling in BTech CSE Data Science or BBA Data Science. Let's peruse the list of courses offered at Shoolini University:

• BBA Data Science: This four-year data science programme helps students develop analytical skills and business management skills. Starting a data science career after completing this course at Shoolini prepares students to face challenges arising in the global arena. After completing a BBA in Data Science, one can work as a data scientist, analyst, chief technology officer, machine learning engineer, project manager, application architect or statistician.

• BTech CSE Data Science: This four-year programme BTech in Data Science helps students learn through an in-depth and industry-ready curriculum in Cloud Computing. Shoolini allows students to get recognised Amazon Web Services Academy Certification. Students interested in pursuing higher studies can easily enrol for master-level courses after completing their bachelor's degree.

• MSc Data Science: This two-year MSc in Data Science postgraduate programme trains students in innovative analytical practices and their application in different data science fields.

• PhD Data Science: Courses for data science don’t stop at the master’s level. Candidates who have an interest in pursuing research in Data Science can opt for the PhD programme for the same at Shoolini University. Students work on projects with industry leaders to gain more industrial knowledge in data science.

Data Science has become a vital part of many industrial sectors. Using effective data science techniques in business helps companies forecast their future growth, find potential problems, and work out strategies that ensure success. Thus, making a career in this field is a worthwhile option as it opens opportunities to specialise in any aspect of data science and carve out a strong future in the exciting world of data science.

Note: The views expressed in this article are that of the Shoolini University and do not reflect/represent those of Shiksha