Graduate Advising

About the Program

• Full-time cohort with two-year completion.
• Provides a strong foundation in general management, builds design skills, and strengthens students’ understanding of biomedical engineering.
• Designed to create future leaders of technology ventures.

Applicants should have undergraduate training in engineering and science. Some prior work experience is preferred. Upon completion of the program, graduates will be able to create successful technology ventures that are able to meet customer requirements, engineer for advantage, and have a viable business model.

Year One

Fall

• Advanced Biomechanics (BMEN 5320)
• Seminar (BMEN 5940)
• Computational BMEN (BMEN 5315)
• Biomaterials Compatibility (BMEN 5321)
• BMEN Lab (BMEN 5210)

Online Business Background Content Modules (leveling): Accounting I and II; Finance

Spring

• Clinical Instrumentation (BMEN 5310)
• BMEN elective (BMEN 5xxx)
• BioMEMS (BMEN 5324)
• Nanotechnology (BMEN 5325)

Online Business Background Content Modules (leveling): Marketing, Business Law

Summer

• Accounting for Management (ACCT 5130)
• Organizational Behavior (MGMT 5140)

Year Two

Fall

• Independent study- Industry visits (MGMT 5900)
• Introduction to Business Decision Process (DSCI 5180)
• Financial Management (FINA 5170)
• Marketing Management (MKTG 5150)
• Business Ethics (MGMT 5710)

Spring

• Administrative Strategy (BUSI 5190)
• Leadership Research and Development (MGMT 5870)
• International Management (MGMT 5660)
• Innovation in Business (MGMT 5900)
• Data Mining (DSCI 5240)

 

Applying for MS in Biomedical Engineering and MBA in G. Brint Ryan College of Business

1. Apply to MS in Biomedical Engineering on GradCAS though UNT Apply Now.
2. Contact the department of Biomedical Engineering: bmen@unt.edu to inform them of your intention to apply for MS (BMEN)-MBA program.
3. The department of Biomedical Engineering will inform the College of Business of your intention to pursue the MS-MBA option.
4. Apply to the cohort MBA program on GradCAS. A coupon code will be generated for your benefit that will ensure that you pay only one application fee.

First Year

Fall

• BMEN 5210 - Biomedical Engineering Laboratory
• BMEN 5315 - Computational Methods in Biomedical Engineering
• BMEN 5940 - Biomedical Engineering Seminar
• INFO 5501 - Fundamentals of Data Analytics
• INFO 5502 - Principles & Techniques for Data Science

Spring

• BMEN Courses - 9 Credit Hours
• INFO 5505 - Applied Machine Learning for Data Scientists

Summer

• MSDS Guided Electives - 6 Credit Hours

Second Year

Fall

Thesis:

• BMEN Elective
• BMEN Thesis
• MSDS Guided Electives—6 Credit Hours

Non-Thesis:

• BMEN Courses—6 Credit Hours
• MSDS Guided Electives—6 Credit Hours

Spring

Thesis:

• BMEN Thesis
• MSDS Guided Elective
• MSDS General Elective

Non-Thesis:

• BMEN Course
• MSDS Guided Elective
• MSDS General Elective

BMEN Courses

• BMEN 5005 – Neuroengineering
• BMEN 5007 – Research Methods in Biomedical Engineering
• BMEN 5280 – AI for Wearables and Healthcare
• BMEN 5310 – Clinical Instrumentation
• BMEN 5311 – Rehabilitation Engineering
• BMEN 5312 – Advanced Signal Processing in Biomedical Engineering
• BMEN 5313 – Bioengineering of Cellular Systems
• BMEN 5314 – Advanced Tissue Engineering and Regenerative medicine
• BMEN 5316 – Biopolymers and Flexible Bio-electronics
• BMEN 5317 – Advanced Biotechnology
• BMEN 5318 – Biomedical Implants
• BMEN 5319 – Cardiovascular Fluid Dynamics
• BMEN 5320 – Advanced Biomechanics
• BMEN 5321 – Biomaterials Compatibility
• BMEN 5322 – Medical Imaging
• BMEN 5323 – Advanced Biomedical Optics
• BMEN 5324 – Biomedical MEMS
• BMEN 5325 – Bio-nanotechnology
• BMEN 5326 – Biomolecular Engineering
• BMEN 5700 – Statistical Genetics
• BMEN 5800 – Topics in Biomedical Engineering
• BMEN 5810 – Topics in Biomedical Engineering
• BMEN 5890 – Directed Study in Biomedical Engineering
• BMEN 5900 – Special Problems in Biomedical Engineering
• BMEN 5910 – Special Problems in Biomedical Engineering
• BMEN 5920 – Cooperative Education in Biomedical Engineering

BMEN Electives

• 5000 or 6000 level courses from any of BMEN, EENG, MEEN, MTSE, CSCE, or BIOL
• 5000 level or above MGMT/LSCM/MKTG courses from the College of Business
• 5000 level or above HLSV courses from the College of Health and Public Service
• 5000 level or above MUPH courses in Performance Arts Health from the College of Music
• 6000 level or above ASLP courses in Audiology from the College of Health and Public Service

Data Science Guided Electives

• CSCE 5213 - Modeling and Simulation
• CSCE 5218 - Deep Learning
• CSCE 5300 - Introduction to Big Data and Data Science
• DSCI 5240 - Data Mining and Machine Learning for Business
• CSCE 5380 - Data Mining
• DSCI 5330 - Enterprise Applications of Business Intelligence
• DSCI 5340 - Predictive Analytics and Business Forecasting
• INFO 5040 - Information Behavior
• INFO 5206 - Information Retrieval Design
• INFO 5307 - Knowledge Management Tools and Technologies
• INFO 5503 - Knowledge Management Processes and Practices
• INFO 5810 - Data Analysis and Knowledge Discovery
• ADTA 5230 - Data Analytics II
• DSCI 5360 - Data Visualization for Analytics
• INFO 5709 - Data Visualization and Communication
• LING 5410 - Computational Linguistics I
• LING 5412 - NLP in Linguistics
• LING 5415 - Computational Linguistics II

Data Science General Electives

• CSCE 5200 - Information Retrieval and Web Search
• CSCE 5214 - Software Development for Artificial Intelligence
• CSCE 5216 - Pattern Recognition
• INFO 5091 - Data Science Internship
• INFO 5200 - Information Organization
• INFO 5205 - Information Indexing, Abstracting and Retrieval
• INFO 5223 - Metadata for Information Organization and Retrieval I
• INFO 5224 - Metadata for Information Organization and Retrieval II
• INFO 5305 - Systems Analysis and Design
• INFO 5365 - Health Sciences Information Management
• INFO 5637 - Medical Informatics
• INFO 5707 - Data Modeling for Information Professionals
• INFO 5731 - Computational Methods for Information Systems
• INFO 5735 - Usability and User Experience Metrics
• INFO 5737 - Information and Cyber-Security
• INFO 5745 - Information Architecture
• INFO 5770 - Introduction to Health Data Analytics
• INFO 6050 - Health Research Methodology
• LTEC 5300 - Learning and Cognition
• LTEC 5320 - Contemporary Issues in Workforce Learning and Performance
• LING 5405 - Python Programming for Text

Applying for MS in Biomedical Engineering and MS in Data Science

1. Apply to MS in Biomedical Engineering on GradCAS though UNT Apply Now.
2. Contact the Department of Biomedical Engineering: bmen@unt.edu to inform them of your intention to apply for MS (BMEN)-MS (DS) program.
3. The Department of Biomedical Engineering will inform the Department of Data Science of your intention to pursue dual MS degrees.
4. Apply to MS in Data Science on GradCAS. A coupon code will be requested for you to use when submitting your second application to ensure that you pay only one application fee.