Applied Data Science Certificate
The Applied Data Science Certificate introduces the tools, methods, and conceptual approaches used to support modern data analysis and decision-making in professional and applied research settings. It exposes you to the challenges of working with data (e.g., asking a good question, inference and causality, decision-making) as well as to the new tools and techniques for data analytics (machine learning, data mining, and more).
The dynamic mindset toward problem solving and data analysis that you develop aligns with the highly regarded skill by employers in the bio/pharma industries and applicable to other industries that utilize data analytics.
Learning Format
All course content is delivered online with no set meetings. Students learn independently,
anywhere they have internet access. These courses offer the most flexibility for students
who need to accommodate work schedules or family obligations, or have busy schedules.
Instructors are available via email, Zoom, and in-course messaging. Students are expected
to meet weekly attendance and assignment deadlines.
Applied Data Science Certificate Program
Time Commitment
The applied data science certificate can be completed in twelve weeks. You should expect to spend about 2 to 4 hours each week on coursework.
Technology Requirements
Access to a computer or laptop capable of playing audio and video. We recommend that it be 5 years or newer when possible.
To participate in live sessions, your device must be equipped with a microphone and camera.
After enrolling in the program, we will provide you with a list of technology recommendations before the program begins.
Applied Data Science Certificate Program
In this twelve-week, three-course program, you will:
- Apply quantitative modeling and data analysis techniques to the solution of real-world business problems, communicate findings, and effectively present results using data visualization techniques.
- Demonstrate knowledge of statistical data analysis techniques utilized in business decision making.
- Apply principles of Data Science to the analysis of business problems.
- Use data mining software to solve real-world problems.
- Employ technologies to analyze large datasets.
| Course Code/Number |
Course Name | Description | Credits |
|---|---|---|---|
| DAT 010 | Introduction to Applied Data Analysis | This course is an introduction to data science and analytics as well as the application of statistical techniques using R statistics, with a particular focus on problems in the biomedical sciences. The course will use probability models and statistical methods of analyzing data with 2 the object of formulating statistical models and choosing appropriate methods for inference from experimental and observational data and for testing the model’s validity. Non-credit course. | 0 |
| DAT 020 | Survey of Bioinformatics: Programming and Prediction | This course will introduce students to bioinformatics analysis and basic programming. Designed for those with little or no prior programming experience, advanced programmers can still learn bioinformatics pipelines and software packages to conduct research. Students will gain hands-on experience working with bioinformatics software, R packages and functions designed for bioinformatics applications. The course will focus on mass spectrometry-based proteomics, DNA and RNA sequencing, genotyping, protein microarrays, and mass spectrometry-based metabolomics. Students will use an open data science tool chain to develop reproducible data analyses useful for inference, modeling and prediction of the behavior of complex systems. Non-credit course. | 0 |
| DAT 030 | Applied Data Science Research Capstone | This is a project-based applied data science (ADS) research class, in which project teams identify a research project under the guidance of a domain expert professor. The research is structured as a data analysis project including the 6 steps of developing a reproducible data science project, including: (1) define the ADS question, (2) identify, locate, and/or generate the data (3) exploratory data analysis, (4) statistical modeling and prediction, (5) synthesizing the results in the domain context, and (6) creation of reproducible research, including code, datasets, documentation, and reports. Non-credit course. | 0 |
Interested in learning more about the diverse courses offered at Albertus?
Where Will Your Applied Data Analytics Certificate take You?
Data scientists based in Connecticut earn a mean annual salary of $120,480 according to the Bureau of Labor Statistics’ (BLS) May 2023 survey. The BLS data reveals computer and mathematical occupations employ about 50,000 Connecticut residents. Some of the state’s other leading industries like transportation, finance, and healthcare also lean heavily on the data science skillset.
Applied Data Science Certificate Admission Requirements
Applicants must be working professionals with a minimum high school diploma or equivalent who are in interested in managing and/or leading Data Science and Machine Learning initiatives at their company and should possess:
- basic proficiency in using computers and navigating software tools
- foundational knowledge of computer programming and statistics
Applicants must also submit a 250-word personal statement and one letter of recommendation from their current employer.
Register for the Applied Data Science Certification Program
Non-credit programs start in August and January. Registration closes 1 week prior to the posted program start date.
Tuition for this non-credit program is $2,000.00* for the three-course sequence. Tuition is due at the time of registration.
*This program is not eligible for Title IV (federal student financial aid), Veterans Affairs military education benefits, Department of Defense tuition assistance programs, and is not available to students who hold an SEVP F, J, or M international student classification/visa.
If you have a question regarding registration or payment options, please don't hesitate to contact us.
Need More Information
If you have questions regarding registration, contact registrar@albertus.edu or (203) 773-8514.
If you have questions regarding payments for your program, contact the Bursar’s Office at Bursar-list@albertus.edu or (203) 786-3025 to discuss payment options.