Data Science Certificates

Program Overview

This online Data Science Certificate program provides professionals and students with the skills to analyze large datasets using mathematical software tools, data management solutions, and visualization techniques. The Computational Biology and Bioinformatics Certificate equips individuals with the technical skills to solve problems in healthcare and life sciences through large data analysis. Both certificates can be applied towards a Master of Science in Data Science.

Program Outline

Outline

Data Science Certificate

• Objective:
Provide professionals and students with the ability to utilize data analysis techniques in their respective fields.
• Duration: One year (potentially)
• Format:
Online
• Modules:
• Calculus, Linear Algebra, Optimization, Probability and Statistics:
Identifying trends and drawing conclusions from large datasets.
• Mathematical Software Tools: Writing software for data analysis.
• Large-scale Data Storage Solutions: Choosing appropriate data storage solutions.
• Querying Mechanisms and Data Management: Developing and implementing data management solutions.
• Clustering Algorithms: Characterizing datasets based on similarities.
• Cloud-based Data Storage Solutions: Evaluating and comparing cloud-based storage solutions.
• Data Science Techniques: Applying appropriate techniques for various disciplines.

Computational Biology and Bioinformatics Certificate

• Objective:
Equip individuals with the technical skills to solve problems in healthcare and life sciences through large data analysis.
• Format: Online
• Modules:
• Software for Large Data Analysis:
Creating software for large data analysis.
• Real-world Problem Solving: Utilizing data for decision-making in computational biology and bioinformatics.
• Data Storage and Encryption: Evaluating data storage and encryption solutions.
• Data Management Solutions: Implementing data management solutions within computational biology and bioinformatics.
• Trends Identification: Identifying trends within datasets.
• Big Data Utilization: Utilizing big data sets.
• Cloud-based Data Storage Solutions: Comparing cloud-based data storage solutions.
• Innovative Data Utilization in Research: Utilizing data for technical research.

Teaching

• Faculty: Experienced in data visualization, data management, and applications of big data.
• Teaching Methods: Online delivery with flexible access.

Careers

• Demand: High demand for data science jobs.
• Potential Applications: Business, education, government, healthcare, life sciences, and technology.
• Dynamic Skills Development: Utilizing existing knowledge and skills in diverse data science domains.

Other

• Transferable Credits: Certificates can be applied towards a Master of Science in Data Science.
• Admission Requirements:
• Bachelor's degree from an accredited institution.
• Minimum undergraduate GPA of 3.0.
• Undergraduate mathematics coursework in Calculus.
• Completed application for graduate admission.
• Professional resume.
• Official transcripts from all institutions attended.
• Two-page statement of purpose.
• Two letters of recommendation.
• International students require a TOEFL score above 550 (computer-based 213; Internet-based 79).