According to International Data Corporation (IDC), the Big Data market is expected to be worth $46.34 billion by 2018. As businesses continue to see the importance of making data-driven decisions, there is a high demand for individuals with skills to analyse, manage and help organizations use Big Data effectively. Big Data-related jobs include Management Analysts, Information Security Analyst, Business Information specialists, Analytics Managers, and Machine Learning Engineers, Statistician and many more. The following are 10 university courses to help you get a Big Data Job:
1) Data Science
Data Science helps students learn how to analyse and interpret large volumes of data. The course encompasses subjects such as Business Analytics, Data Mining, Data Statistics, Law, and Ethics. This course is ideal for people who want to understand statistical and computational data analysis methods.
2) Social Data Analytics
Social Data Analytics prepare learners to participate in research environments where Big Data is a primary source of insight into political and social processes. Students that complete the course have the technical skills needed to analyse, present and apply Big Data.
3) Data Analytics
Data Analytics course enables students to analyse Big Data and convert it to useful knowledge. This course seeks to present students with numerous data analytics techniques. It is structured around wide contours of various types of data analytics, namely, predictive, inferential, descriptive, and prescriptive analytics.
4) Database Application Development
The Database Application Development course exposes students to many application development tools such as MySQL, PL/SQL for developers and more. The course focusses on the acquisition of the practices, principles, theories, technologies, tools, and methodologies associated with Database Application Development
5) Computer Science
Big Data and Data Science are strongly connected with computer science. Computer Science course involves the use of methods and technology, and includes an emphasis on software development. The course provides an in-depth knowledge on the following subjects: Artificial intelligence (AI), machine learning and Data theory. Such knowledge is important in developing the skills needed to drive innovations in the Big Data field.
6) Math and Statistics
Most professionals employed in Big Data companies come from statistics and mathematics educational backgrounds. Mathematics and Statistics courses allow students to have a deep foundation in statistics, computational theory, and probability theory. With a mathematics background, students can understand almost all the statistics/machine learning/ probability for Big Data job.
7) Data Engineering
Data engineering course equips students with the skills to handle Big Data. Data engineers create a huge reservoir for Big Data. People who have pursued this course can construct, test, develop and maintain architectures such as large-scale data processing systems and databases.
8) Business Intelligence and Analytics
Business Intelligence and Analytics addresses the need to gather data, and exploit information hidden in gathered data to improve decision making. This course is more technology focused. It stretches the decision-sciences and data mining theme to a wider agenda of business intelligence.
Some lawyers have specialized in legal issues affecting data-driven business models, Big Data, and data analytics. Specifically, such lawyers review the contractual, regulatory legal environment, and intellectual property for data-driven businesses. To avoid getting into problems, Big Data companies are hiring lawyers who ensure the businesses’ legal obligations are met.
A business course enables students to solve problems in product placement, buying pattern, and marketing. Business schools offer some specific course in analytics with a rich set of classes in cloud computing, predictive analytics, and business intelligence. Although a business course is not as technically demanding as the engineering and mathematics paths, it enables students to understand programming, analysis, and database design.