The exponential growth of data is undisputed.
In a day, an estimated 500 million tweets are posted, 294 billion emails are sent and four petabytes of data are created on Facebook, according to this infographic by business content producer Raconteur.
By 2025, the International Data Corporation (IDC) estimates that the global datasphere will grow from 33 zettabytes in 2018 to 175 zettabytes.
Predictions that the networks of the future will be fuelled by analytics, AI, and 5G are also circling around the datasphere, indicating that the time to pursue a Master’s in Business Analytics degree is now.
A top-quality business analytics education that prepares students for this future reality can be found at the University of New Hampshire (UNH) Peter T Paul College of Business and Economics – an institution with a track record in producing agile, innovative and work-ready data scientists and analysts.
A degree that fills the gaps of a data-driven future
In The Best Jobs in America 2020 report by Glassdoor, the third most desired role is a data scientist.
This aligns with figures from an Indeed Hiring Lab report which found data scientist postings as a share of all postings on Indeed jumped a full 31 percent in December 2018.
The MS in Business Analytics at the Paul College, which teaches students how to harness the power of data, is a qualification that will prepare students to take on these hot career prospects.
The overall objectives and learning goals of the programme can be segmented into three main pillars of business analytics which are highly dependent on each other.
The first pillar relates to students learning how to store, pre-process, and represent/summarise data in the School’s descriptive analytics-based courses, such as data management and visualisation, and big data and computing courses.
Once the data is ready for analysis (as a result of the descriptive analytics studies), the second pillar relates to students learning how to quantify uncertainty, provide parameter estimates and build forecasting models in the School’s predictive analytics courses.
And after the estimates and forecasts are obtained (as a result of the predictive analytics studies), students will reach the third stage by learning how to make optimal decisions in business settings when faced with scarce resources.
Throughout the degree, students enhance their data analysis and visualisation skills, learn how to forecast future probabilities and trends, and support leaders to make decisions in resource-constrained environments.
Every course in this programme uses examples and/or projects in which analytics concepts and tools are applied to real-world problems.
It is also taught by a faculty immersed in big data research, including cybersecurity, so that students get exposure to the latest challenges businesses face.
Drive your future forward with a career in business analytics
This future-facing programme at the University of New Hampshire places heavy emphasis on the theoretical fundamentals and the practical applications of business analytics.
And by supplying students with relevant and modern programming skills, learners will seamlessly transition into contemporary corporate roles.
For instance, UNH business analytics graduates would qualify for roles such as business intelligence analysts, data analysts, decision science analysts, market strategy consultants, pricing and revenue optimisation analysts and Six Sigma analysts or planners.
UNH graduates will have also had the flexibility to finish this degree in as little as 16 months by opting for full-time study, or between two and a half to three years on a part-time basis.
Ultimately, the overarching goal of the MS in Business Analytics degree is to produce students with a variety of skills suitable for addressing data-driven decision-making problems that can be applied to many business disciplines such as finance, marketing, operations and so forth.
So if this sounds like the right UNH course for you, and you’re ready to invest in your career, then click here to find out when the next information session is.
Or you can reach the College’s Admissions Officer (Graduate Programmes) by contacting her via email: firstname.lastname@example.org.
The future of data is certain, so why not make yours certain too?