Master of Science in Data Science
August 8, 2022 2024-12-26 6:53Master of Science in Data Science
Personalizing your Master of Science in Data Science is easy. Pick a pathway based on your career goals, with support at every stage.
Take a different path and stand out from the crowd with Birchwood Online Master of Science in Data Science Program.
The Data Science Landscape
50X
1.5 Million
$108,000
90%
66% of students got a bigger role and 80% say Birchwood helped them get it.
Median salary increases +23% within 6 months of graduation.
Why choose a Master of Science in Data Science?
Admission Requirements
General Admission Requirements
Submission of a copy of an updated Resume.
Any document not in English must be accompanied by a certified translated copy.
Additional Admission Requirements for Master of Science in Data Science.
Provide an Official undergraduate degree transcript in business, marketing, management, operations management, statistics, or a related field with a GPA of 2.5 or higher.
Provide two (2) Professional Recommendation Letters.
A professional readiness interview will be conducted with the Director of Education if the GPA is below 2.5.
Admission Decisions & Process
We evaluate candidates on their academic background, career accomplishments, and the thoughtfulness and candor within their application. Ultimately, we look for driven, early-career professionals with business leadership potential.
Online Application
Online Assessment
Personal Interview
Entry Documents Verification
Final Committee Decision
Admission Application and Graduation Requirements
Application For Admission
Graduation Requirements
Earn a minimum 3.0 cumulative grade point average.
Meet satisfactory academic progress.
Fulfill all monetary obligations.
Master of Science in Data Science Course - Key Highlights
Earn a globally recognized online master’s degree equally credible as offline.
100% Online Programs
24*7 Access
World Class Curriculum
The Cohort Experience
Program Description
- Apply the necessary skills to communicate effectively, thoughtfully, and compassionately within the global Analytics field.
- Apply, synthesize, analyze, and integrate the knowledge of Data Science, Python, Machine Learning, and Artificial intelligence to arrive at innovative solutions to organizational problems.
- Demonstrate the skills to work in multicultural organizations within a globalized society.
- Demonstrate the ability to develop, analyze and communicate empirical scholarly work.
- Develop the competencies in Data Science
Program Curriculum
MDS500 | Python Programming | 4 Credit Hours
MDS510 | Data Base Management System | 4 Credit Hours
MDS520 | R Programming | 4 Credit Hours
MDS530 | Exploratory Data Analysis | 4 Credit Hours
techniques are typically implemented before formal modeling begins and can help in
informing the development of numerous complex statistical models.
Exploratory techniques are also essential for eliminating or sharpening potential hypothesis
about the world that the data can address. In this course, we will study the plotting systems
and the basic principles of constructing data graphics. We will also cover some of the
standard multivariate statistical techniques used to visualize high-dimensional data
MDS540 | Machine Learning | 4 Credit Hours
Intelligence that automates data analysis to enable computers to learn and adapt through
experience to do specific tasks without explicit programming. You will master Machine
Learning concepts and techniques, including supervised and unsupervised learning,
mathematical and heuristic aspects, and hands-on modeling to develop algorithms and
prepare you for your role with advanced Machine Learning knowledge.
MDS550 | Machine Learning Model Deployment | 4 Credit Hours
MDS560 | Artificial Intelligence | 4 Credit Hours
• Data Visualization using Tableau – Tableau Course will help you master the various aspects of the program and gain skills such as building visualization, organizing data, and designing dashboards. You will also learn concepts of statistics, mapping, and data connection. It is an essential asset to those wishing to succeed in Data Science. After learning the tableau tool, one must be able to display and analyze data. Also, it enables the users to create various reports and presentations about data.
• Data Visualization using Power Bi – In this course, you will master the various aspects of the program and gain skills such as building visualization, organizing data, and designing dashboards utilizing data visualization using Power Bi. You will also learn concepts of mapping, and data connection; users will be able to provide clear and actionable insights in less than a minute. It also enables the candidate to import the data from multiple sources. And learn how to transform the data. It is an essential asset to those wishing to succeed in Data Science.
MDS570 | Data Visualization Using Tableau/Power BI | 4 Credit Hours
Sourcing data from the web (OData and Azure), Building a dashboard, Data visualization, Publishing to the cloud, DAX data computation, Row context, Filter context, Analytics pane, Creating columns and measures, Data drill down and drill up, Creating tables, Binned tables, Data modeling and relationships
Power BI components such as Power View, Map, Query, and Pivot.
MDS600 | Capstone Project | 4 Credit Hours
Additional
Information
Additional Information for Master of Science in Data Science Program
FAQs
Why should I pursue a degree in Data Science?
In recent years there is a high demand for the Data Science field offering lucrative career opportunities. A masters program enhances technical skills, provides in-depth knowledge, and prepares students for specialized roles in the industry.
What is the duration of a Masters of Science in Data Science program at Birchwood University?
At Birchwood University, the masters program will typically take 18-24 months.
What are the eligibility criteria for a Masters of Science in Data Science?
The required criteria for Masters of Science in Data Science at Birchwood University is a bachelor’s degree in a related field like computer science, mathematics, statistics, or engineering and a solid foundation in programming and mathematics.
What topics are covered in a Masters of Science in Data Science?
Common subjects during the masters program include machine learning, data visualization, big data, data mining, statistical modeling, artificial intelligence, and programming languages like Python and R.
What career opportunities are available after completing a Masters of Science in Data Science?
After completing the masters course the graduates can work as data scientists, machine learning engineers, data analysts, business intelligence analysts, or data engineers.