The Masters in Data Science is a professional master’s program designed for students who want to advance their careers in data science. Our industry-relevant curriculum gives you the skills to extract valuable insights from big data. This program equips you with expertise in statistical modeling, data management, machine learning, data visualization, software development, research design, data ethics, and user experience to meet the growing needs of industry, nonprofits, government agencies, and other organizations. Our students have high undergraduate grades and technical skills, but we look for more when forming our cohorts and welcome students from various backgrounds and perspectives. This approach allows our programs to provide a unique and enriching lived experience.
Admission Requirements
General Admission Requirements
- A copy of a valid government-issued photo identity card.
- A copy of an updated resume.
- Any document if not in English must be accompanied by a certified translated copy.
Additional Admission Requirements For Master of Science in Data Science
- Submit a 500-word essay (minimum) summarizing the applicant’s interest in the Master of Science in Data Science program outlining your professional aspirations.
- Provide an official undergraduate degree transcript verifying the completion of a bachelor’s degree in computer science, engineering, mathematics, statistics, or a related field with a cumulative GPA of 2.5 or higher.
- Provide two (2) professional recommendation letters attesting to your academic abilities and professional potential.
- Personal Interviews will be conducted with the Director of Education for applicants with a GPA below 2.5.
Admission Application and Graduation Requirements
Application For Admission
All individuals interested in applying for admission to the university should complete an application which must be accompanied by a non-refundable application fee of $500.00 (check, money order, or credit card) to process the application. The check or money order should be made payable to Birchwood University. Applicant must submit all required application documents to be considered for admission. Once a decision is made, an email will be sent to the candidate with further instructions. Candidates will be contacted by their admissions agent regularly to ensure that all the completed documents are received by the office.
Post Graduation Requirements
To graduate from Birchwood University and to receive a degree, the students must:
- Complete all credits as stated in the catalog.
- Need to earn a minimum cumulative grade point average of 3.0.
- Meet satisfactory academic progress.
- Fulfill all financial obligations.
Program Objectives
Upon completion of the program, students will
- 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
- Course Management
- Communication and Collaboration
- User-Friendly Interface
- Educational Institutions
- Businesses and Organization
- Individual Learners
- User-Friendly Interface
- Robust Course Management Capabilities
- Effective Communication and Collaboration
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