Bachelor of Science, Data Analytics

Bachelor of Science, Data Analytics

Data Analytics Career Opportunities

  • Business Intelligence (BI) Developer
  • Data Analyst
  • Data Engineer
  • Data Scientist
  • Digital Marketing Manager
  • Health Care Data Analyst
  • IT Systems Analyst
  • Operations Analyst
  • Quantitative Analyst

Jump Start an In-Demand Career With a Data Analytics Degree Online or On Campus

As organizations of all types turn to data for risk analysis and identification of opportunities, the field of data analytics continues to grow exponentially. According to the Bureau of Labor Statistics, statisticians, information security analysts, and data scientists are among the top 10 fastest growing occupations between 2020 and 2030. As the first in Oklahoma to launch a dedicated Data Analytics Bachelor’s Degree, let Mid-America Christian University (MACU) equip you with the knowledge and skills you need to advance in this promising field.

Our unique data analytics undergraduate degree mixes aspects of our well-established business and mathematics degree programs with information technology, including data mining, optimization, and simulation. You’ll learn to use industry-standard data analysis tools as well as develop the soft skills necessary to become a critical thinker and ethical leader in any workplace, shaping you into a well-rounded professional.

Data analytics is also available as a concentration with our Bachelor of Business Administration program.

Program Information

A Data Science Bachelor’s Degree Online That’s Accredited, Accelerated, Affordable

At MACU, we help adults successfully earn an accredited, accelerated, and affordable online data analytics degree in a supportive learning environment. With our life experience credits, eligible students can receive up to 30 credits for a wide range of prior learning, including military training, vocational learning, ministry, community service, and more. Plus, online undergraduates take just one five-week class at a time in a consecutive order, helping them focus on one course, one professor, and one set of assignments at a time. If something unexpected comes up at work or at home, students can take the time off and easily jump back into school where they left off.

MACU makes entry into its online degree programs as easy as possible for adults through:

  • Minimal upfront fees and a well-established orientation. MACU offers free placement testing and a thorough financial review before students even start. Plus, the first course in every online degree program (no book purchase required) helps students get comfortable with the online learning process, including MACU’s learning management system.
  • Students have ample time to determine if college is right for them. Small classes and a strong student services team. A low faculty-to-student ratio, tutoring, and other student services means students will receive all the attention and support they need to succeed.
  • Development of community. In every way possible, MACU helps online students feel like they are part of a community, both among their classroom peers and with certain aspects of on-campus life.
  • Growth for the whole person. MACU helps students to mature spiritually and ethically by placing Christian principles at the foundation of each course.

Study Data Analytics Undergraduate Courses at MACU

As a private, faith-based university that balances career exploration, four-year degree completion, and the best of small-campus and big-city life, working toward a data analyst degree on our Oklahoma City, Okla., campus is a great choice.

Find the perfect internship. Meet potential employers. Enjoy good food, live music, and fun events with friends. Go hiking or spend time at a wildlife refuge. Travel around easily by street car, bus, bike, or scooter. No matter what your interests or career goals are, MACU and Oklahoma City offer you the chance to do what you love. From competitive and recreational athletics and esports to a wide range of groups, activities, and events, campus life at MACU is both vibrant and secure. If you’re looking for more, you’re sure to discover it in OKC. With a growing population of more than 640,000, the city boasts exceptional career-boosting experiences, as well as countless restaurants, shopping centers, and entertainment venues.

Launching Ethical Data Analytics Careers

At MACU, we believe in the importance of teaching from a biblical perspective, which means ethics from the Christian perspective are part of every course. Students who take our Bachelor of Data Analytics program are encouraged to think carefully and thoroughly about the challenges inherent in today’s data collection environment, including individual ownership of personal data, the need for transparency and privacy, the intention for gathering each data point, outcomes of data analysis, the creation and use of algorithms, and more.

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Courses

CMSC 1203

Foundations of Programming

This course lays the foundation of programming using flowcharts and pseudocode. It develops understanding of logic and algorithms in programming. The focus is on developing programming skills and knowledge by implementing conditional statements, loops, and functions.

CMSC 3103

Analytics Management and Presentation

This course prepares students to gather data, conduct data analytics using scientific methods, interpret findings, write and present an insightful and well-organized report of findings.

CMSC 3463

Advanced Structured Query Language (SQL)

Students create secure database applications using advanced database development tools and techniques. Topics include variable types, logic structures, creating and working with program units, subprograms and functions, Dynamic SQL, database development and utilization, access control and database security utilities.

CMSC 4103

Introduction to R for Data Analytics

This course covers R’s basic syntax, starting with variables and basic operations, progressing to data structures such as vectors, matrices, data frames and lists. Using the graphical capabilities of R, students will create data visualizations, and data presentations.

MATH 2823

Business Calculus

Informal study of differentiation and integration as applied primarily to polynomial, exponential, and logarithmic functions. Intended for students planning to major in business, life science, and social science.

MATH 3103

Linear Algebra

A study of the generalization of the properties of straight lines. Topics include: linear equations, matrices, determinants, vectors, vector spaces, linear transformations, Eigenvalues and eigenvectors.

MATH 3403

Discrete Math

An introduction to the fundamental ideas of discrete mathematics and a foundation for the development of more advanced mathematical concepts. Some topics covered include: Number Theory, Sets and operations on sets, logic, permutations and combinations, functions, trees, graph theory and groups.

MATH 3703

Introduction to Statistics

The course is a complete introduction to basic statistics as a method of analysis. Statistics is a powerful tool that is used in the business world and in the behavioral science area extensively. This course will provide the student with a working knowledge of statistical terms and formulas. The student will use Microsoft Excel as the medium technology throughout the course. Microsoft Excel spreadsheet program is required for this course.

MATH 4113

Mathematical Modeling

Mathematical modeling is a mathematical tool for solving real world problems. In this course students study a problem-solving process. They learn how to identify a problem, construct or select appropriate models, figure out what data needs to be collected, test the validity of a model, calculate solutions and implement the model. Emphasis lies on model construction in order to promote student creativity and demonstrate the link between theoretical mathematics and real-world applications.

MATH 4243

Regression Analysis

This course lays the foundation of programming using flowcharts and pseudocode. It develops understanding of logic and algorithms in programming. The focus is on developing programming skills and knowledge by implementing conditional statements, loops, and functions.

MISE 3603

IT Management

The student will cover a broad range of IT Management areas, including web development and how it is used in business; outsourcing, contracts, cloud versus internal management of data. The course will be a basic overview of IT management and the role it plays in business environments.

MISE 4403

Project Planning and Implementation

This course provides a foundation for understanding the broad concepts of successful planning, organization, and implementation within the realm of software development, enhancement, and recon-figuration. This course uses real-world examples and identifies common mistakes and pitfalls. Topics covered include project scoping, estimating, budgeting, scheduling, tracking, and controlling.

MISE 4643

Database Management

This course will introduce the student to the basics of a relational database design. The student will learn to develop a relational database and use structured query language (SQL) to make database calls. The course is designed to provide a student with a sound overview of databases and a strong introduction to the use of SQL.

MISE 4663

Business Intelligence/Data Analytics

The course will focus on the analysis and modeling of data. A major aspect of business is to provide a model to management to make sound decisions. The student will learn how to access data, glean applicable information and then present this data in a manner meaningful to decision makers.