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Data Analytics at Southern Adventist University: Pursuing an MS in Applied Computer Science
By now, you’ve learned more about what data analytics is, some industries that are seeking those skills, and career paths you can take to be successful.
But how do you get started?
And which program is right for you?
With a brand-new program that’s been designed for the modern application of data-analytics, Southern Adventist University is proud to present its MS in Applied Computer Science.
This is a very accessible, user-friendly program that will equip you with in-demand skills within data analytics, cybersecurity, and web development.
The Applied Computer Science program was specifically designed for people with minimal technical background to break into new fields through data analytics and get placed quickly in highly-sought after positions.
Does that sound like you?
This program is built on specialized certifications, and you can earn the MS in Applied Computer Science degree by successfully completing any two of them along with other requirements.
Computer Science
Gain a user-friendly foundational understanding of computer science and programming across a range of applications. Courses cover topics including algorithms, system software and architecture, and databases.
Cybersecurity
This certificate will focus on technical skills, ethical hacking, and defending servers against hacking. With courses such as Offensive Cybersecurity, Defensive Cybersecurity, and Cyber Forensics, you’ll learn about topics like cryptography, privacy, network defense, basic number theory, and more.
Data Analytics
Build a strong foundation for data analytics with a special emphasis on programming, query languages, database design, and UX/UI. Courses include Databases and Data Warehouses, Data Mining and Analytics, and Data Visualization.
Web Development
From User Experience to Advanced Web Programming and everything in between, this certification will help you develop incredible programs you never thought you’d be able to build. By honing skills like mobile app development and languages like JavaScript, HTML and CSS, you’ll be well on your way.
Is Data Analytics the Right Path for You?
Remember, you don’t have to have any formal training in computer science or data in order to earn this degree.
Even if your undergraduate degree isn’t in computer science and you don’t have any technical work experience, this program can launch you into a successful IT career.
If you’re looking to pursue a new career path or advance in your existing one, whether that’s earning a promotion, getting a raise, or taking on new responsibilities, then this program may be the right fit for you.
Each one of these program certifications is designed to give you the highly sought-after skills needed to fulfill the roles that are placing a huge emphasis on data analytics.
That’s why a master's degree in Applied Computer Science is so valuable — rather than picking up odd certifications, you walk away with accredited certifications and a master’s degree that distinguish you in this growing field.
What You'll Learn
The best part is, Data Analytics is just one part of the MS in Applied Computer Science program — you get to build other technical skills and emerge as a well-rounded IT professional!
Here’s a taste of some of the classes you’ll get to take:
Foundations of Software Development
Introduction to computer programming and software design, control structures, data types, data representation, elementary data structures will be covered. As well as the development of reliable, modifiable programs with an introduction to database management systems.
Programming in Data Analytics
This course introduces students to the computing skills needed for effective data analysis. Students will learn a data analytics programming language, statistical methods and tools to draw conclusions, in the form of text and graphics, from complex data sets.
Databases and Data Warehouses
Database systems course covering data modeling, query languages, database design, data integrity, security, and data warehouses. Issues related to distributed database systems, object-oriented database systems, and legacy database systems are also discussed.
Mobile Application Development
Introduction to mobile device application development, technologies, design, device interfacing, and the development process. Topics include connecting to web-based servers, User Experience, accessing device capabilities, industry standards, OS Software Development Kit (SDK), and other appropriate technology for developing mobile applications.
Advanced Web Programming
Advanced Web Programming focuses on front-end web programming. Topics include interaction between JavaScript, HTML and CSS, UI/UX JavaScript frameworks, responsive and accessible design, progressive web apps and integrating backend services with front-end web apps. This course is cross-listed with CPTR 456. A student may receive credit for this course from only one program.