Undergraduate Certificate in Data Analytics with Machine Learning
The Analytics with Machine Learning undergraduate certificate provides students with advanced knowledge of data analytics techniques including data mining and machine learning. Students learn foundational database and data management concepts, statistical analysis techniques, and then data mining techniques that also incorporate machine learning. Students will be able to mine data in a variety of formats and analyze data using these techniques. Students will also learn about various data integration options that involve both the analysis of on-premises data repositories, and the analysis of cloud-based data (i.e., Big Data and Cloud Analytics).
Upon completion of this certificate, graduates will be able to:
Utilize basic statistical analysis techniques (e.g., probabilities, correlation, and regression) for analyzing data
Demonstrate the use of various data mining algorithms, techniques, and concepts
Perform predictive analytics with supervised data mining algorithms (e.g., Bayesian classifiers and neural networks)
Perform predictive analytics with unsupervised data mining algorithms (e.g., clustering and association rules)
Design and implement databases, data warehouses, and data lakes
Demonstrate simple and advanced SQL for queries including PL/SQL & triggers
Analyze data from databases, data marts, data warehouses, and data lakes using the latest analytics tools and applications
Construct cloud-based data lake repositories (with structured, semi-structured, and unstructured data) and perform cloud-based analytics
The 12-credit undergraduate certificate is designed as a standalone stackable credential. Credits can also be applied to the 120-credit B.S. in Data Analytics, or as electives in another B.S. program.
Intakes
- Jan
- Aug
Application Processing Time in Days: 30
Minimum English Language Requirements
| English Level Description | IELTS (1.0 -9.0) | TOEFL IBT (0-120) | TOEFL CBT (0-300) | PTE (10-90) | |
|---|---|---|---|---|---|
| Expert | 9 | 120 | 297-300 | 86-90 | |
| Very Good | 8.5 | 115-119 | 280-293 | 83-86 | |
| Very Good | 8 | 110-114 | 270-280 | 79-83 | |
| Good | 7.5 | 102-109 | 253-267 | 73-79 | |
| Good | 7 | 94-101 | 240-253 | 65-73 | |
| Competent | 6.5 | 79-93 | 213-233 | 58-65 | |
| Competent | 6 | 60-78 | 170-210 | 50-58 | |
| Modest | 5.5 | 46-59 | 133-210 | 43-50 | |
| Modest | 5 | 35-45 | 107-133 | 36-43 | |
| Limited | 4 | 32-34 | 97-103 | 30-36 | |
| Extremely Limited | < 4 | < 31 | < 93 | < 30 |
Job Opportunity Potential
You’ll find a wide range of roles available directly through RMU’s career portal, across faculty, staff, and student positions. Here's a quick breakdown:
- Part-Time Faculty: Roles in areas like Communication & Organizational Leadership, English & Media Arts, History, and Nursing (BSN program)
- Athletics & Recreation: Positions such as Assistant Coach (Strength & Conditioning, Men’s Ice Hockey), Athletic Trainer, Game Day Media/Video Operations, Ice Crew, and Club Sports Multimedia Manager
- Facilities & Maintenance: HVAC Maintenance Worker IV and Utility Worker (custodial/environmental services)
- Administrative & Specialized Staff: Financial Analyst, Compliance and NIL Coordinator, Associate Athletic Director for Compliance, Police Officer (Campus Police)
- Student Worker Roles: Guest Services Associate, Pro Shop Associate, Sports Dome Associate at Island Sports Center, plus plenty of other student and event-based roles
Career Support & Employer Engagement
RMU empowers both job seekers and employers through its Career and Professional Development Center:
- For Students & Alumni: Offers workshops, resume help, interview prep, career fairs each semester, access to Handshake for job listings, and networking events
- For Employers: Tools include the ability to post jobs on Handshake, participate in career fairs, conduct on-campus interviews, host workshops, and launch internship programs
PSW Opportunity
Post-Study Work visa or permit, allowing international students on F-1 visas to work in the US after completing their studies, typically through Optional Practical Training (OPT).
Eligibility:
To be eligible for OPT, students must have been enrolled full-time in a US educational institution for at least one academic year and be seeking work related to their major.
Duration:
Students can apply for up to 12 months of OPT, either before they finish their studies (pre-completion) or after graduation (post-completion).
STEM OPT:
Students in STEM (Science, Technology, Engineering, and Mathematics) fields can apply for an extended OPT period of up to 24 months.
Contact our PSA counselor for more information
Admission Requirement / Eligibility Criteria
Scores from an approved English language exam (we accept TOEFL, IELTS, PTE, Duolingo) Minimum scores required are as follows:
- TOEFL - 55 ibt
- IELTS (Academic) - 5.5 overall band score
- Duolingo English Test (DET) - 90
- PTE - 42
- A score of 540 or higher on the SAT Evidence-Based Reading and Writing section may be accepted in lieu of an approved English language exam.
For More Information About Admission Requirements / Eligibility Criteria Please Contact To Our PSA Counselor.
- Course Type: Full Time
- Course Level: Under Graduate Diploma or Certificate
- Duration: 06 Month
-
Total Tuition Fee:
17850 USD
Average Cost of Living: 14000 USD /year
Application Fee: 30 USD
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