MS-SCM With Certificate Options

The Department of Computer Science offers a Data Science certificate. If a Supply Chain Management student chooses to earn the certificate, admission to the Data Science certificate program must be obtained at the same time as admission to the Supply Chain Management program and will be enrolled simultaneously into both programs. There is no retroactive awarding of certificates or using courses that were taken prior to the admission to the certificate program to satisfy the requirements of a certificate, and credit may not be transferred in to satisfy the requirements for certificates.

The course requirements for the Data Science certificate are the same as those required for the specialization, as outlined above, plus COSC 6520 Business Analytics or MBA 6100 Business Analytics. The certificate may add up to an additional 9 credits. Obtaining both the specialization and a certificate is not permitted. Courses may not be used for more than two of the following options: certificate, specialization, master’s.

For more information on the certificate in Data Science, please see the Graduate School Bulletin.

Course Work

Students must complete a minimum of 15 credits of course work from the following courses:

COSC 6510	Business Intelligence
COSC 6520 Or MBA 6100	Business Analytics Business Analytics
COSC 5500	Visual Analytics
COSC 5820	Ethical and Social Implications of Data
COSC 65701	Data at Scale
or COSC 6060	Parallel and Distributed Systems
or COSC 6380	Advanced Database Systems

¹ COSC 6060 or COSC 6380 recommended for students with a computer science background

The Graduate School of Management offers a Business and Managerial Analytics certificate. If a Supply Chain Management student chooses to earn the certificate, admission to the Business and Managerial Analytics certificate program must be obtained at the same time as admission to the Supply Chain Management program and will be enrolled simultaneously into both programs. Certificates must be approved individually via the curriculum approval process as Title IV aid eligible, meeting Gainful Employment guidelines, in order for students in any of these programs to be eligible to apply for federal financial aid. There is no retroactive awarding of certificates or using courses that were taken prior to the admission to the certificate program to satisfy the requirements of a certificate, and credit may not be transferred in to satisfy the requirements for certificates.

Course Work

COSC 6520	Business Analytics	3
or MBA 6100	Business Analytics
COSC 5820	Ethical and Social Implications of Data	3
COSC 6510	Business Intelligence	3
And two electives (6 credits) from the following: 1		6
MARK 6130	Customer Relationship Management
MARK 6160	Marketing Research
MARK 6165	Marketing Analytics
ECON 6560	Applied Econometrics
ECON 6561	Applied Time-Series Econometrics and Forecasting
ACCO 5060	Accounting Analytics 2
or ACCO 6535	Fraud Examination and Analytics
Total Credit Hours		15

1	Electives for the Business and Managerial Analytics certificate would replace one or both of courses chosen from the electives list under the master's degree with no specialization.
2	ACCO 6535 Fraud Examination and Analytics is recommended for students with a sufficient background in accounting. The certificate may add up to an additional 9 credits. Obtaining both the specialization and a certificate is not permitted. Courses may not be used for more than two of the following options: certificate, specialization, master’s.

 

This interdisciplinary opportunity with Opus College of Engineering will provide engineers the skills to participate on and lead cross-functional teams for their companies. If a Supply Chain Management student chooses to earn the certificate, admission to the Machine Learning certificate program must be obtained at the same time as admission to the Supply Chain Management program and will be enrolled simultaneously into both programs. Only credits taken while admitted to the certificate program may apply toward the certificate requirement.

By completing the graduate certificate in machine learning for engineering applications, you'll develop the capabilities required to apply current tools and appropriate approaches to solve complex problems in a variety of domains. You’ll gain a greater technical understanding of the elements of machine learning, including algorithms, intelligent systems, neural networks, pattern recognition and deep learning.

The 12 credits of course work is completed while enrolled in the MS-SC degree. The other 18 credits will be completed with Supply Chain courses; all of which are offered in an online environment.

Course work

Total Credit Hours 12

Required Course:
Machine Learning

Elective Courses

Choose three from the following:

• Visual Analytics
• Data Mining
• Ethical and Social Implications of Data
• Advanced Machine Learning
• Data at Scale
• Introduction to Algorithms
• Developments in Computer Software
  or
  Fundamentals of Artificial Intelligence
• Introduction to Intelligent Systems
• Introduction to Neural Networks and Fuzzy Systems
• Evolutionary Computation
• Algorithm Analysis and Applications
• Artificial Intelligence
• Pattern Recognition
• Neural Networks and Neural Computing
• Advanced Topics in Electrical and Computer Engineering

Other courses as approved by the Certificate Faculty Sponsor, the EECE director of graduate studies and the chair of the EECE department.

This interdisciplinary opportunity with Opus College of Engineering will provide engineers the skills to participate on and lead cross-functional teams for their companies. If a Supply Chain Management student chooses to earn the certificate, admission to the Systems Engineering certificate program must be obtained at the same time as admission to the Supply Chain Management program and will be enrolled simultaneously into both programs. Only credits taken while admitted to the certificate program may apply toward the certificate requirement.

This interdisciplinary engineering certificate responds to the push for innovation, preparing practicing engineers to assess and manage risk, striking a balance among competing objectives.  By completing this certificate, you’ll develop the skills and knowledge required to solve complex systems engineering problems in a variety of domains using current tools and approaches.  

The 12 credits of course work is completed while enrolled in the MS-SC degree. The other 18 credits will be completed with Supply Chain courses; all of which are offered in an online environment.

Course Work

Total Credit Hours 12

Required Courses:
Systems Engineering Principles and Practice
Engineering Risk Analysis

Elective Courses

Choose two from the following:

• Biomedical Instrumentation Design
• Image Processing for the Biomedical Sciences
• Systems Physiology
• Engineering Decisions Under Uncertainty
• Traffic Characteristics and Design
• Sustainable Engineering
• Computer Security
• Fundamentals of Artificial Intelligence
• Sensor Devices: Theory, Design, and Applications
• Software Testing
• Introduction to Algorithms
• Introduction to Intelligent Systems
• Industrial Ecology and Sustainable Design
• Model-Based Systems Engineering
• Physical Systems Modeling
• Experimental Design
• Human Factors Engineering

Other courses as approved by the Certificate Faculty Sponsor and the associate dean for academic affairs in the Opus College of Engineering.