Certificates

Biomedical Informatics (BMI) is an interdisciplinary field that combines knowledge of informatics and medial sciences to assist in the management of health and biomedical information. BMI has become an integral component of both clinical and translational research and healthcare infrastructure, increasing the demand for researchers and health professionals trained in BMI.

The Biomedical Informatics Certificate program is offered jointly by the University of Cincinnati's College of Engineering and Applied Science and College of Medicine in partnership with Cincinnati Children's Hospital Medical Center.

Students who are awarded the BMI certificate have a broad understanding of the field, knowledge of information technology solutions, and hands-on experience with electronic health records and other clinical informatics systems. Graduates will also understand the principles of data science and its application to clinical, genomic, and other large-scale data sets in the context of studies on disease etiology, personalized treatment, and optimal clinical interventions. 

The curriculum consists of four core courses and two electives for a total of 19 semester credit hours. Credits can be obtained for completing equivalent courses within home programs, either in biology/medicine or engineering/computer science fields.

Candidates must have already completed an undergraduate degree. You may apply for the BMI certificate through the University of Cincinnati Admissions. Admission to the program is dependent on the completion of prerequisites.

To learn more about the Biomedical Informatics Certificate Please Contact:

Dr. Raj Bhatnagar by email at bhatnark@ucmail.uc.edu or phone at 513.556.4932.

The cyber operations program at UC provides such training.There is a basic, mandatory component of the program that covers security and safety principles, some of which are applicable to all operational and system levels, and some are foundational to building specific secure systems. The program also offers specialized, optional components allowing a student to concentrate on one or two specific aspects of cyber operations. Upon completion of the program, the student will receive a Master of Science degree in either Computer Science or Computer Engineering and a certificate of proficiency in cyber operations in recognition of having acquired these important skills. Award of this certificate will be mentioned on the student's transcript.

A student entering a Master of Science program, cybersecurity/cyber operations track, after receiving a Bachelor of Computer Science or Computer Engineering degree, must either take the  required undergraduate prerequisite courses (described below), which do not count for graduate credit, or prove to the program director that courses with the same content have recently been taken either at UC or a comparable four-year institution.

An undergraduate may complete the cyber operations program through the ACCEND program. ACCEND is an accelerated program that allows a student to earn Baccalaureate and Master's degrees in Computer Science or Computer Engineering in five years.

A graduate or ACCEND student will receive a certificate of proficiency in cyber operations upon completion of the cybersecurity/cyber operations track associated with a Master of Science in Computer Science or Computer Engineering degree. This track requires completing seven graduate courses that target 8 mandatory knowledge units, two prerequisite undergraduate courses that target two additional mandatory knowledge units, and three additional graduate courses such that four optional knowledge units are covered.

1. Knowledge of how to legally protect sensitive and proprietary data from theft, manipulation, and unauthorized access
2. Acquisition of hands-on experience with detecting intrusion and attacks, identifying attackers, mitigating or preventing the effect of an attack. 
3. Ability to communicate results of analysis effectively (visually and verbally) to a broad audience. 

• 18-IT-2030C (3cr) Information Security and Assurance
• 15-POL-2035 (3cr) Cyber Security Policy and Strategy
• 20-EECE-6029 (3cr) Operating Systems
• 20-EECE-7037 (3cr) Malware Analysis
• 20-EECE-6061 (3cr) Network Exploitation
• 20-CS-6055 (3cr) Cyber Defense Overview
• 20-CS-6056 (3cr) Security Vulnerability Assessment
• 20-CS-6043 (3cr) Computer Networking
• 20-CS-6070 (3cr) Theory of Formal Languages and Automata
• 20-CS-6097 (3cr) Wireless and Mobile Networks
• 20-CS-6021 (3cr) Mathematical Logic
• 20-CS-6065 (3cr) Cloud Computing

• 18-IT-2030C (3cr) Information Security and Assurance
• 15-POL-2035 (3cr) Cyber Security Policy and Strategy
• 20-EECE-6029 (3cr) Operating Systems
• 20-EECE-7037 (3cr) Malware Analysis
• 20-EECE-6061 (3cr) Network Exploitation
• 20-EECE-6038C (3cr) Advanced Microsystem Design
• 20-EECE-6017C (3cr) Embedded Systems
• 20-EECE-7095 (3cr) Computer Architecture
• 20-EECE-6061 (3cr) Network Security
• 20-CS-6055 (3cr) Cyber Defense Overview
• 20-CS-6056 (3cr) Security Vulnerability Assessment
• 20-CS-6043 (3cr) Computer Networking
• 20-CS-6097 (3cr) Wireless and Mobile Networks
• 20-CS-6021 (3cr) Mathematical Logic

There are four components to admission to the Data Science Certificate program:

1. Applicants must have a baccalaureate degree (BS or BA) in Computer Science, Computer Engineering, or Electrical Engineering.
2. Applicants must convince the program director of a deep commitment to legally protecting data that is considered sensitive or proprietary by US Corporations and State and Federal government.
3. Applicants must be proficient in a low level language such as C.
4. Applicants must have appropriate course work as described below.

Applicants to the program must provide transcripts and official university course descriptions to show that they have obtained a grade of at least 3.0/4.0 (B or better) for at least undergraduate level background courses in the following areas:

1. operating systems: particularly kernel programming as in 20-EECE-4029,
2. mathematics: including discrete mathematics, statistics, and probability, and
3. programming and algorithms: including data structures, experience developing medium-large software in C++ and/or java, and design and analysis of algorithms.

To learn more about the Cyber Operations Certificate Please Contact:

Dr. John Franco by email at franco@gauss.ececs.uc.edu or phone at 513.556.1817.

According to the McKinsey Global Institute, the US will need to increase the number of graduates with data science skills by 60% to meet demand that is estimated to be almost 500,000 jobs in 5 years. Data science includes IT expertise, but it also includes the ability to work with extremely large data sets and to communicate analytical findings to other professionals who can leverage those findings for strategic decision making. 

The graduate certificate in Data Science prepares students to apply analytic techniques and algorithms (including statistical and data mining approaches) to large data sets to extract meaningful insights. Students acquire hands-on experience with relevant software tools, languages, data models, and environments for data processing and visualization. Working in teams, students communicate results of analysis effectively (visually and verbally) to a broad audience.

This certificate is a collaborative program between Computer Science and Business Analytics. Graduate credits earned apply to MS, MEng, and MBA programs. Companies seeking data scientists include dunhumby, Procter & Gamble, Google, Twitter LinkedIn, Facebook, Amazon, Teradata, Microsoft, AT&T, Verizon, and many, many others. 

1. Knowledge of how to apply analytic techniques and algorithms (including statistical and data mining approaches) to large data sets to extract meaningful insights. 
2. Acquisition of hands-on experience with relevant software tools, languages, data models, and environments for data processing and visualization. 
3. Ability to communicate results of analysis effectively (visually and verbally) to a broad audience. 

Core Courses:

• EECE 8075 (3cr) Data Warehousing and Mining
• CS 6052 (3cr) Intelligent Data Analysis
• CS 6065 (3cr) Cloud Computing
• BANA 6037 (3cr) Data Visualization
• BANA 7038 (3cr) Data Analysis Methods
• BANA 6043 (3cr) Statistical Computing

Plus 5 credits of approved electives in Information Systems, Business Analytics, Computer Science, Electrical & Computer Engineering, Statistics, Health Informatics, or Geographic Information Systems

There are four components to admission to the Data Science Certificate program:

1. Applicants must have a baccalaureate degree (BS or BA).
2. Applicants must submit a statement of purpose consisting of two paragraphs and not exceeding 300 words in length where one paragraph addresses the applicant’s qualifications for entering the program and the other addresses how the applicant’s professional goals are supported by the certificate.
3. Applicants must have written permission from their advisor, department head, and college dean to pursue the graduate certificate if they are enrolled in a graduate degree program.
4. Applicants must have appropriate course work as described below.

Applicants to the program must provide transcripts and official university course descriptions to show that they have obtained a grade of at least 3.0/4.0 (B or better) for at least undergraduate level background courses in the following areas:

1. database design and management: including experience with SQL queries and design and development of relational databases,
2. statistics: including basic knowledge of probability distributions, hypothesis testing, and linear regression, and
3. programming: including knowledge of data structures and experience developing medium-large software in C++ and/or java.

To learn more about the Data Sciences Certificate Please Contact:

Raj Bhatnagar by email at bhatnark@ucmail.uc.edu or phone at 513.556.4932.