Analytics and Systems, M.S.

Note: An online (or hybrid) program is available for this major, and follows the same requirements.

The MS in Analytics & Systems (MS A&S) is a 30-credit graduate program designed to meet the needs of students whose career goals include integrating data, technology, and methods to provide insights for constructive decision-making. The program accomplishes its mission by developing student expertise in technical skill, solution architecture and delivery, analysis, and management. Graduates of the MS A&S will be well-positioned to enter contemporary data-driven organizations.

Students will learn both a breadth of knowledge of information systems and a depth of skills in modern analytical methods. Classwork involves both rigorous instruction and required projects to prepare graduates for the unique stresses of this fast-paced industry. A similar MBA program  with a concentration in Analytics Intelligence is offered by our Ernest C. Trefz School of Business; this MS A&S is for students looking to focus more on analytics and systems specifically, rather than business management generally.

Positive program outcomes will be achieved through the knowledge and skills the students will acquire from a comprehensive curriculum design, instruction in an effective learning environment, opportunities for inquiry, and professional development. This program largely leverages our existing offerings. While more specific and analytical in nature, these learning outcomes are in line with our institutional mission, and our MBA program.

Program characteristics

Although students with work experience will find maximum benefit from the MS A&S; no previous work experience is required. The curriculum is designed to recognize and accommodate substantial diversity in preparation and experience as well as the different goals and career expectations of students. For this reason, some students may be required to complete preparatory coursework to successfully graduate from the 30-credit MS A&S program. Flexible course delivery enables students to proceed at their desired pace.

Progression/sequence of coursework

Preparatory coursework must be taken in the first semester. Students begin the formal MS A&S program by completing the eight core courses (in any order). Capstone courses should be taken in the final semester, or final two semesters.

STEM designation

The MS A&S is classified by ICE (U.S. Immigration and Customs Enforcement) as a STEM (science, technology, engineering, and math) degree.

Learning outcomes

Upon completion of this program, students will be able to:

1. Demonstrate

1. The ability to explore and organize data with Microsoft Excel MO-210 Associate Level proficiency,
2. Knowledge and competence in data querying, data preparation, and data transformation with SQL and SAS Certified Specialist Level proficiency,
3. A theoretical understanding and practical implementation of data modeling for predictive analytics with SAS Certified Statistical Business Analyst Level proficiency,
4. Application of the cross industry standard process for data mining (CRISP-DM) from start to finish on business data, and
5. The ability to apply the information technology (IT) lifecycle from the lens of business intelligence (BI) and applying project management tenets to real-world projects.

2. Communicate ideas clearly and persuasively in oral and written structures in both formal and informal settings.
3. Contribute within diverse sets of teams and build internal and external relationships that facilitate success in contemporary organizations via interpersonal and professional skills.
4. Apply information literacy, proficiency with technology, and analytical techniques for ethical/effective/efficient decision-making.
5. Address current issues and case studies using creativity and methods for problem identification/solutions. 
6. Act with integrity as an individual and apply ethical theories to contemporary organizations/topics.
7. Think critically and logically by integrating concepts across disciplines to successfully lead in a dynamic international/global environment.

Technical

• Demonstrating an understanding of concepts learned throughout this graduate program
• Describing the business drivers and critical success factors for effective analytics and systems project and program delivery
• Using research, tools, and techniques for complex analytical solutions that capture, consolidate, and present information for meaningful insights

Human

• Communicating complicated information at a professional level clearly and concisely
• Understanding how to manage all aspects of the data capture, delivery, and analysis process
• Demonstrating initiative, discipline, and follow-through on assignments and projects
• Facilitating meaningful dialogue related to class topics

Conceptual

• Evaluating the advantages and disadvantages of analytics and systems solution designs, tools, and visualization options
• Analyzing trends within data, facilitating their application, and sharing throughout the organization
• Applying the theories and techniques learned throughout this program with focus on analytics, information systems, sourcing, and vendor management

Eligibility for transfer credits in the 30-credit upper-level program courses

For students with graduate coursework from a regionally accredited university: No more than two (graduate) courses may be transferred into the MS A&S program. For students who have earned graduate credit from the Trefz School that is not included in a conferred degree: all applicable (graduate) three-credit courses may be transferred into the MS A&S program.

MBA/MS and MSA/MSF dual-degree programs

Students are offered the opportunity to acquire concurrent graduate degrees within the Trefz School, allowing up to 15 credit hours to be applied to both programs. (Students must not be eligible to graduate from either program until the final semester.)  A minimum of 45 credit hours must be completed to satisfy the requirements of an MS Analytics/MS Finance dual-degree program, and a minimum of 51 credit hours must be completed to satisfy the requirements of an MBA/MS dual-degree program.

The BUCP 599  Capstone course is available for dual-degree students with the following modification; students may complete a 3-credit internship and one 1-credit in each program.

Graduation requirements

To qualify for the award of the degree of Master of Science in Analytics and Systems, a student must fulfill the following minimum requirements:

1. Admitted to candidacy for the degree in the School of Business.
2. Satisfactorily complete all academic requirements with a cumulative grade point average grade of “B” (CGPA = 3.0) or better.
3. File an application for the award of the degree at the Registrar’s Office on or before the date published in the University calendar.
4. Complete all academic requirements within five (5) years from the date of first registration, unless a petition for extension is granted. Extensions are granted only for compelling reasons.