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This Course Includes
coursera
0 (0 reviews )
20 months 
english
Online - Self Paced
Degree
University of Pittsburgh
About Master of Data Science
Advance or start your career in data science with the University of Pittsburgh’s fully online Master of Data Science (MDS) program. This 30-credit program will provide students with core computational, mathematical, and statistical concepts as well as predictive and database modeling, machine learning, data exploration, data management, and data curation.
Students will gain abilities to pose and answer real-world questions through data and complete experiential projects to build a portfolio they can share with potential employers, all at their own pace. The program adopts an inclusive approach, allowing individuals from diverse academic backgrounds beyond STEM who hold bachelor's degrees to acquire the essential knowledge and skills needed for a successful career in data science.
The MDS program is uniquely designed to unlock the ethical use of data and teach students how to explore the social impact of data science and craft their professional path to becoming responsible data scientists. Students will learn to choose the right methods, validate findings, and make ethically informed decisions.
There are no admissions process requiring prior data or computer science work, programming experience or even an academic history beyond a bachelor’s degree. The fully accredited MDS program is performance-based, requiring students to attain a 3.0 grade-point average in an initial, three-credit course to continue toward the graduate degree.
What You Will Learn?
- 10 courses (30 credits) master’s degree taught by a leading public research university..
- Learn to program for data analysis in Python and R, using Jupyter notebooks, and RStudio. Design and query relational databases using MySQL via MySQL Workbench, and design and query graph databases with Neo4j. .
- Gain a deep understanding of core computational, mathematical and statistical concepts, responsible data management, and data curation skills (ethically cleaning, interpreting, and using big data across a variety of contexts)..
- Opportunities to gain practical experience through data exploration and predictive modeling, and develop an ethical toolkit for informed and defensible decision-making..
- Access and work with large, real-world data sources from campus, community and corporate partners. .
- 10 courses (30 credits) master’s degree taught by a leading public research university..