Kinesiology and Integrative Physiology

Kinesiology Accelerated Master’s (BS-MS)

Earn a Bachelor’s and a Master’s in Five Years

Are you an extremely motivated student? Take a big leap forward with the Kinesiology Accelerated Master’s (BS-MS) program, and you will earn both a Bachelor of Science and a coursework Master of Science in Kinesiology in just five years of full-time study.

This accelerated degree plan allows you to combine the master’s degree with a bachelor’s degree from Michigan Tech in exercise science, sports and fitness management, biomedical engineering, or biological sciences (pre-professional option). Together, the two degrees will put you on the fast track to pursuing doctoral studies or gaining a competitive edge for a career in research or industry.

Kinesiology Accelerated MS Requirements

  • In order to be accepted to the Kinesiology Accelerated Master’s program, students must apply to, and be accepted into, the Graduate School at Michigan Tech. Faculty in the Department of Kinesiology and Integrative Physiology will review all applications.
  • Students may apply for admission any time after they attain junior-level class standing (and up) until the time that they are awarded their bachelor’s degree.
  • Students will be considered undergraduates for the purposes of financial aid, tuition, and class standing until their undergraduate degree has been awarded. Once students are awarded their undergraduate degree, they will be considered graduate students. They will be expected to adhere to all policies and procedures related to graduate education at Michigan Tech.
  • Students already enrolled in a graduate degree program cannot retroactively apply to this accelerated program.

Credits

Double Counting

Certain courses (KIP 4100–Exercise Physiology [3 credits], KIP 4300–Motor Learning and Control [3 credits], or KIP 4200–Biomechanics of Human Movement [3 credits]) may be double counted (up to a maximum of six credits) toward both a B.S. and the accelerated master’s. Courses approved for double counting must be clearly identified on the master’s degree schedule. Students must earn a B or higher for these courses in order to apply them toward the graduate degree.

Senior Rule

Up to three credits may be taken under senior rule, which reduces the number of credits taken while enrolled as a graduate student from 30 to 21 credits (if combined accelerated and senior rule options are approved).

Senior rule allows for certain courses to be approved for graduate study while students are in their final year of undergraduate study. However, senior rule courses are reserved for the graduate transcript and cannot be used to satisfy undergraduate degree requirements.

Senior rule forms need to be completed by the end of the first week of the semester that the course is being taken and require the signature of the department chair. Students should plan early and discuss senior rule with their academic advisor in advance of the semester they plan to take a senior rule course. Only approved graduate elective courses are eligible for consideration.

Kinesiology Accelerated Master’s students will be required to take 24 course credits for their graduate work (after applying 6 credits as outlined in the Credits section above) with the following requirements:

Required Core Courses (15–18 credits)

Two of the following three courses:

KIP 5000 - Advanced Exercise Physiology

This course focuses on exercise physiology in both humans and rodents. Topics include detailed muscle physiology, fatigue mechanisms, the autonomic nervous system, advanced cardiovascular adaptations with exercise, exercise metabolism, and environmental exercise physiology. The importance of translational research will be highlighted.

  • Credits: 3.0
  • Lec-Rec-Lab: (2-1-0)
  • Semesters Offered: Fall
  • Pre-Requisite(s): KIP 4100 and KIP 4110

KIP 5100 - Advanced Biomechanics

This course includes the quantitative analysis of human motion through bioinstrumentation during dynamic performance. A detailed analysis of different movements and movement techniques, as well as investigations into the mechanics of tissues and their function, are included in this course.

  • Credits: 3.0
  • Lec-Rec-Lab: (2-1-0)
  • Semesters Offered: Spring
  • Pre-Requisite(s): KIP 4200 and KIP 4210

KIP 5300 - Advanced Motor Learning and Control

This course will provide the current theories and concepts involved in the processes of motor skill acquisition and performance from a behavioral perspective. Additional peer-reviewed literature will be utilized toward an oral presentation.

  • Credits: 3.0
  • Lec-Rec-Lab: (3-0-0)
  • Semesters Offered: Fall, Spring
  • Restrictions: Permission of department required

Both of the following courses:
A minimum of two graduate seminar credits is required.

KIP 5900 - Graduate Internship in Kinesiology

Practical experience in the field of kinesiology at an approved internship site. Internships must be approved by department chair or graduate director, and work a minimum of 42 hours for each credit earned.

  • Credits: variable to 6.0
  • Semesters Offered: Fall, Spring, Summer
  • Restrictions: Permission of department required

KIP 5700 - Graduate Seminar

Graduate seminars are designed to facilitate critical discussions of student research projects and peer-reviewed research in related fields. The presenter will provide an overview or seminar of the research of interest, which will establish the foundation for the discussion thereafter.

  • Credits: 1.0; Repeatable to a Max of 2
  • Lec-Rec-Lab: (0-1-0)
  • Semesters Offered: Fall, Spring
  • Restrictions: Permission of department required
  • Pre-Requisite(s): KIP 5000 or KIP 5100 or KIP 5300

At least one of the following statistics courses:

MA 3740 - Statistical Programming and Analysis

Project-based course enabling students to identify statistical methods and analysis using R and SAS. Topics include exploratory data analysis, classical statistical tests, sample size and power considerations, correlation, regression,and design experiments using advanced programming techniques.

  • Credits: 3.0
  • Lec-Rec-Lab: (0-2-2)
  • Semesters Offered: Fall, Spring
  • Pre-Requisite(s): MA 2710 or MA 2720 or MA 3710 or MA 3715

MA 4710 - Regression Analysis

Covers simple, multiple, and polynomial regression; estimation, testing, and prediction; weighted least squares, matrix approach, dummy variables, multicollinearity, model diagnostics and variable selection. A statistical computing package is an integral part of the course.

  • Credits: 3.0
  • Lec-Rec-Lab: (0-3-0)
  • Semesters Offered: Fall
  • Pre-Requisite(s): MA 2710 or MA 2720 or MA 3710 or MA 3715 or MA 5701

MA 4720 - Design and Analysis of Experiments

Covers construction and analysis of completely randomized, randomized block, incomplete block, Latin squares, factorial, fractional factorial, nested and split-plot designs. Also examines fixed, random and mixed effects models and multiple comparisons and contrasts. The SAS statistical package is an integral part of the course.

  • Credits: 3.0
  • Lec-Rec-Lab: (0-3-0)
  • Semesters Offered: Spring
  • Pre-Requisite(s): MA 2710 or MA 2720 or MA 3710 or MA 3715 or MA 5701

MA 5701 - Statistical Methods

Introduction to design, conduct, and analysis of statistical studies, with an introduction to statistical computing and preparation of statistical reports. Topics include design, descriptive, and graphical methods, probability models, parameter estimation and hypothesis testing.

  • Credits: 3.0
  • Lec-Rec-Lab: (0-3-0)
  • Semesters Offered: Fall, Spring, Summer
  • Restrictions: Must be enrolled in one of the following Level(s): Graduate

PSY 5210 - Advanced Statistical Analysis and Design I

An overview of data analysis methods including visualization, data programming, and univariate statistics such as t-test and ANOVA.

  • Credits: 3.0
  • Lec-Rec-Lab: (0-2-2)
  • Semesters Offered: Fall - Offered alternate years beginning with the 2018-2019 academic year
  • Restrictions: Must be enrolled in one of the following Level(s): Graduate

PSY 5220 - Advanced Statistical Analysis and Design II

Course covers multivariate statistics such as ANCOVA, Multiple Regression, factor analysis, clustering, machine learning, and mixture modeling.

  • Credits: 3.0; Repeatable to a Max of 12
  • Lec-Rec-Lab: (0-2-2)
  • Semesters Offered: Spring - Offered alternate years beginning with the 2018-2019 academic year
  • Restrictions: Must be enrolled in one of the following Level(s): Graduate
  • Pre-Requisite(s): PSY 5110

Elective Courses

A minimum of 12 elective course credits approved by graduate program director or department chair is required.

A list of approved elective courses within and outside the department is provided online. Courses not on this list, but deemed relevant and appropriate by the student and advisor, may be used if written approval is obtained from the graduate program director or department chair.

Program Resources

Sample Curriculum Plans

Transferring to the MS in Kinesiology from: