Accelerated BSBA to MS in Analytics Program Policy

Students who wish to work toward both a Bachelor’s degree and Master’s degree in Analytics may do so in our Accelerated BSBA to MSA program if the student meets all application requirements. This accelerated plan provides the opportunity for students to complete both a bachelor’s degree and a master’s degree in an efficient and effective format, normally in five year.  Undergraduate students who meet all the application requirements and are selected for enrollment into the MA program earn Pre-Master’s status as an undergraduate until they are officially graduated with their Bachelor’s degree and earn Graduate Student Status.  Once having earned Pre-Master’s status, an undergraduate student is able to enroll in the graduate courses and follow the program plan outlined in the attached Accelerated BSBA to MSA Program Plan.

Admissions Requirements

Students interested in pursuing the Accelerated BSBA to MSA program plan in Analytics must complete the following application requirements:  
    1. By the start of Pre-Master’s status, they must have either:
            - 75 credit hours earned and an overall BGSU GPA of at least 3.2[1], or
            - 90 credit hours earned and an overall BGSU GPA of at least 3.0;
    2. A completed Accelerated Bachelor’s to Master’s Program Application;
    3. Transcripts from the registration and records office at BGSU[2];   
    4. Three letters of recommendation from a full-time BGSU faculty member, preferably from graduate faculty within the student’s major or targeted graduate program;

Accelerated Bachelor’s to Master’s Graduate College Policies

Student Status Once accepted into an Accelerated Bachelor’s to Master’s program, the student remains coded as an undergraduate student with Pre-Master’s status and officially becomes coded as a graduate student once the student has earned the bachelor’s degree.  The student’s coding as an undergraduate or graduate student is associated with other BGSU policies pertaining to degree status.

Credit hour policies The following policies apply to students in all Accelerated Bachelor’s to Master’s programs.

  1. After being accepted into an Accelerated Bachelor’s to Master’s program, students may take up to 12 credit hours of graduate credit while maintaining undergraduate status.
  2. Subject to program approval, students may apply a maximum of 12 credit hours to both the bachelor’s and master’s programs.  However, the ability to apply credit hours to both the undergraduate and graduate degree is influenced by each program’s minimum credit hour requirements (see policy #3).  Because the Master of Science in Analytics program includes the state of Ohio minimum of 30 credit hours, very few students will be permitted to dual count courses for both the Bachelor’s degree and Master’s degree. 
  3. At the end of both the Bachelor’s and Master’s degrees, a student must have a minimum of 150 discrete semester credit hours (120 + 30 = 150 state of Ohio regulated minimum credits).
  4. Pre-Master’s students may enroll in 5000 and 6000 level graduate classes (not 7000).
  5. All graduate policies pertaining to graduate credit hours, time to degree, and other regulations are also applicable to Accelerated Bachelor’s to Master’s program students.

Tuition Students enrolled in Accelerated Bachelor’s to Master’s programs with Pre-Master’s status will pay tuition at the undergraduate rate through the completion of the bachelor’s degree.  Thereafter, students will be coded as graduate students and pay the graduate rate for tuition and fees.  

Financial Aid Students will be eligible for financial aid based on their BGSU student status as either an undergraduate or graduate student.  During a student’s Pre-Master’s status, they remain coded as undergraduate students and may be eligible for financial aid but not graduate assistantships. Once students become regularly admitted graduate students with full graduate student status, they may be eligible for graduate-level financial assistance, including graduate assistantships with stipends and/or graduate tuition scholarships.

Program Withdrawal A student admitted to an Accelerated Bachelor’s to Master’s program with a Pre-Master’s status may withdraw from the program and continue as a traditional undergraduate student toward the completion of the bachelor’s degree.

Program Dismissal Students who fail to maintain minimum requirements for adequate academic graduate standing will lose Pre-Master’s status, and as a result will be unable to continue taking graduate level courses. Under these conditions, if adequate standing is maintained for their undergraduate program, the student may continue in the bachelor’s degree program.

                                                                    Accelerated BSBA to MSA Program Plan

Students enrolled in the accelerated BSBA to MS program plan in Analytics should follow the following course schedule below for planning out graduate work that begins while still enrolled as an undergraduate student, followed by the courses taken when fully enrolled as a graduate student in the MSA program.  In order to complete this plan in an accelerated format (4 years undergraduate + 1 year graduate), students will enroll with the Plan II option (non-thesis) and complete the comprehensive project class.

Pre-Master’s Status (limited to 12 credits maximum)

Courses that may be taken at the graduate level while an undergraduate student with “Pre-Master’s” Status:
        STAT 4020/MSA 5020: Regression Analysis (3 credits)
        MIS 4400/MSA 5400: Database Management (3 credits)
        STAT 4160/MSA 5160: Time Series Analysis (3 credits)
        MIS 4600/MSA 5600: Business Intelligence (3 credits)

Master’s Degree Graduate Student Status
Courses to be taken in the 5th year as part of the MSA degree program. Note that the students must take 12 additional credit hours at the graduate level to fulfill a specialization.
        Fall Semester
        MSA 5470: Exploratory Data Analysis (3 credits)
        MSA 6010: Decision Optimization (3 credits)
        MSA 6701: Analytics Project I (1 credits)
        Specialization Elective I**
        Specialization Elective II
        Spring Semester
        MSA 6440: Data Mining* (3 credits)
        MSA 6500: Big Data Analytics (3 credits)
        MSA 6702: Analytics Project II (3 credits)
        Specialization Elective III (3 credits)
        Specialization Elective IV (3 credits)
        Summer Semester
        MSA 6450: Advanced Data Analytics (3 credits)
        MSA 6600: Project Management (3 credits)
        MSA 6703: Analytics Project III (1 credit)
*The BSBA/BA&I requires STAT 4440: Data Mining in Business Analytics. We need to make sure that MSA 6440 builds on STAT 4440, rather than repeats it.

**Students enrolled in the accelerated program need to take a specialization which requires 12 additional (on top of MSA) credit hours at the graduate level. They can be selected from the following specializations (all 12 credit hours must come from the same specialization).

        Specialization in Finance
        MBA 6060: Financial Management in a Global Environment (3 credits)
        MBA 5520: Financial Modeling (3 credits)
        MBA 5530: International Financial Management (3 credits)
        MBA 5540: Management of Financial Institutions (3 credits)
        Specialization in Supply Chain Management
        MBA 6040: Supply Chain Management (3 credits)
        MBA 5410: Quality and Lean Tool (3 credits)
        MBA 5420: Logistics Management (3 credits)
        MBA 5450: Operations Planning and Control (3 credits)
        Specialization in STAT/OR
        STAT 5060: Sample Design (3 credits)
        STAT 5120: Applied Nonparametric Statistics (3 credits)
        STAT 5140: Statistical Quality Control (3 credits)
        STAT 6300: Applied Multivariate Analysis (3 credits)
        STAT 6340: Applied Discrete Data Analysis (3 credits)
        OR 6470: Network Analysis (3 credits)
        OR 6610: Linear and Integer Programming (3 credits)
        OR 6620: Probability Models for Decision Making (3 credits)
        MATH 5260: Actuarial Mathematics I (3 credits)
        MATH 5370: Actuarial Mathematics II (3 credits)
        MATH 5450: Applied Probability (3 credits)
        MATH 6440: Stochastic Processes (3 credits)
        MATH 6480: Bayesian Statistical Inference (3 credits)
        Specialization in Computer Science
        CS 5200: Artificial Intelligence Methods (3 credits)
        CS 5250: Computer Graphics (3 credits)
        CS 5290: Data Communication and Networks (3 credits)
        CS 5420: Techniques of Simulation (3 credits)
        CS 5510: Numerical Analysis (3 credits)

Capstone Experience:

        Plan II is the only option for the MSA
                (See Project Courses above)

[1] For the purposes of this policy, BGSU GPA is calculated based on BGSU credits only. However, credits transferred into BGSU may be counted as part of credit hours earned (not GPA).
[2] The graduate college will obtain these records.