Analyze Data To Develop Real-World Solutions: Data Analytics
Do you enjoy turning chaos into order? Are you able to see connections where others see only disorder? Do you have excellent analytical skills and would love to work with sophisticated computer software? If so, your passion and skills could be turned into a lucrative career after completing a data analytics degree. These days every industry is driven by data and experts are required to make sense of all this data. These experts are needed to put all the data to a more efficient use in fields as diverse as healthcare, logistics, business and more. It is also a great degree if you have a passion for mathematics and numbers as you’ll be able to put your skills to good use.
Data Analytics Degree Information
Bachelor of Science in Data Analytics
The Bachelor of Science in Data Analytics is a degree that can be completed on-campus or completely online. In addition to a general education program, this type of degree may also feature courses such as Foundation of Data Analytics, Fundamentals of Data Mining, Data Analytics, Database Design, Project Management in Information Technology, Introduction to Data and Information Management, Management Science Through Spreadsheets, and more. Elective courses in Business Law, Social Media or Public Relations may also be available through this degree. Since this is a 120 credit hour degree, it can take up to four years to complete.
Master of Science in Data Analytics
The Master of Science in Data Analytics is another degree that can be completed either fully online or at a campus based location. It is designed to provide students with advanced training in mathematics and science that fulfill the requirements of employers. This type of degree can generally be completed in as little as 15 months and consists of a number of courses as well as a capstone in Data Analytics. Courses may include Predictive Analytics, Advanced Analytics, Optimization and Risk Assessment, Decision Methods and Modeling, Presentation and Visualization of Data, Enterprise Data Management and Foundations of Data. Completing the degree can take up to three years and in addition to successfully completing all the credits, students are also required to complete and defend a research proposal along with their final dissertation.
Doctor of Computer Science - Big Data Analytics
The Doctor of Computer Science - Big Data Analytics is an online degree program that requires 96 total credits for completion. Core courses may include Business Intelligence, Analytics for Big Data, Advanced Quantitative Analysis, Concurrent and Distributed Systems, Quantitative Research Methods, and more. Doctoral research is also a requirement for this degree.
Data Analytics Degree FAQ
Is It Possible To Study For A Data Analytics Degree Online?
There are a number of online options available to students who want to earn a Data Analytics degree, but are unable to do so at a campus. Studying data analytics online is usually not just the most affordable option, but also the most convenient. It provides students with the flexibility to earn their degree without the need to quit their jobs or give up existing responsibilities. In addition, an online degree from an accredited institution means that you are getting the same expert instructions as students who make use of a campus. You’ll also still be able to interact with fellow students online. If you fulfill all the requirements to enroll in an online data analytics degree program the only other requirements are generally a computer or laptop as well as an internet connection.
Who Would Be An Ideal Candidate To Study Data Analytics?
Analytical skills would obviously be the most beneficial if interested in studying data analytics, but jobs involving this degree also require a range of other skills. You will need good communication skills as the conclusions you have drawn from the data you have analyzed must still be presented to others. Since this often requires you to explain technical information in such a way that people without technical backgrounds can still understand it, good communication skills are essential. Your communication skills, along with your interpersonal skills, will also be useful when dealing with coworkers as many jobs in this field require you to work as part of a team. Problem-solving skills are equally important as is math skills. Furthermore, you will need good critical-thinking skills along with good writing skills. If you are interested in pursuing an advanced degree in data analytics, it is usually beneficial to have some sort of background in statistics as well as software programming.
What Type of Career Options May Be Available To Me After Earning A Data Analytics Degree?
There are a wide range of career paths in the public and private, as well as nonprofit sectors, that can benefit from the skills obtained from a data analytics degree. Common career paths include data miner, analyst, market researcher, information technology specialist, statistician and much more. Many students who complete a degree in data analytics choose applied roles within government or business where they work with large data sets in order to help make better decisions.
How Much Can I Potentially Earn When Employed In This Field?
A degree in data analytics can open up a lot of career paths, which means your salary will depend on where you end up being employed. For example, data published by the United States Bureau of Labor Statistics indicate that operations research analysts earned a median annual wage of $84,810 in 2019. During this same period, those employed as statisticians earned about $91,160 and mathematicians made $105,030.
What Are The Other Benefits To Studying Data Analytics?
One of the biggest advantages that you can gain from earning a degree in data analytics is that it is a very sought after qualification. There is a large demand for data analysts in all sectors, which means that you not only have a lot of career paths to choose from, but may also reap the benefit of a larger starting pay. As far back as 2011, the McKinsey Global Institute published a report stating that the next frontier for innovation, competition and productivity will be big data, which will require more people with deep analytical talent.
