Master of Science in Data Science
Master of Science in Data Science
The Master of Science in Data Science serves as a transformational educational experience for individuals looking to advance their careers in the data-driven world. By combining analytical competencies with technical skills and practical experiences, graduates are well-prepared to take on the challenges of the global industry. Whether aiming for roles in data analysis, machine learning engineering, or data strategy, the knowledge and expertise gained from this program will be instrumental in navigating the complexities of modern data management landscapes.
Build Data Science and Generative AI Skills for High-Demand Careers
Employers now expect professionals to work with Generative AI, large language models, and intelligent systems. Job postings related to generative AI grew from 2021 to nearly 10,000 by 2025, showing rapid hiring demand. At the same time, AI-related skills now appear in over 70% of data-focused roles, which shows a clear shift in industry expectations.
Birchwood designs its Master of Science in Data Science program to match this shift. The program integrates minor Generative AI concepts directly into the learning path, so students graduate with skills employers actively look for.
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The Data Science Landscape
Why choose a Master of Science in Data Science ?
The Master of Science in Data Science prepares you for jobs where companies use data and AI to make decisions. Today, companies want people who can do more than just study data. They want experts who can build AI systems, use machine learning, and work with Generative AI tools. Hiring in this area is growing fast, and more companies now ask for these skills. To meet this demand, Birchwood includes minor Generative AI skills within the MSDS program, giving you focused skills in modern AI technologies that companies actively look for.
This program helps you learn how to handle data from start to finish. You will work on building models, improving data quality, and checking results. You will also learn how to help companies use data to make better plans and decisions.
Birchwood includes modern AI skills as a core part of the program, so you learn what companies actually need today and graduate ready for high-demand roles in data science and AI.
What you will learn:
- Large Language Models and prompt writing
- Generative AI models like transformers
- Techniques like RAG for smarter AI answers
- AI tools for automation and smart systems
- How to deploy and manage machine learning models
Why You Need Data Science and AI Skills Together
- Companies now want people who can build AI systems, not just analyze data
- There are 300,000+ data science jobs open worldwide
- Jobs with AI and machine learning skills pay more
- More companies are investing in AI and automation
Career options after graduation:
- AI Engineer
- Machine Learning Engineer
- Data Scientist with AI focus
- Data Scientist with AI focus
This program helps you build strong skills in data science, machine learning, and Generative AI, so you are ready for high demand jobs in today’s tech driven world.
What does this course have to offer?
Explore key learning outcomes, skills, and competencies designed to shape future professionals.
- Apply programming skills in Python and R to develop efficient solutions for data analysis and modeling.
- Design, manage, and manipulate relational databases using structured query language (SQL) and database management systems.
- Perform exploratory data analysis to identify patterns, trends, and insights from complex datasets.
- Develop and implement machine learning and artificial intelligence models to solve real-world problems.
- Deploy machine learning models into production environments using modern tools, APIs, and cloud platforms.
- Create effective data visualizations and dashboards to communicate insights using tools such as Tableau and Power BI.
- Integrate end-to-end data science workflows to solve industry-relevant problems through a comprehensive capstone project.
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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.
Eligiblity Criteria 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.
Your Path to Admission
We evaluate candidates based on their educational background, professional performance, consideration, and openness to applications. Our goal is to identify motivated individuals with strong leadership potential and a passion for advancing in the field of data science.
Step 1
Online Application
Step 2
Online Assessment
Step 3
Personal Interview
Step 4
Documents Verification
Step 5
Final Committee Decision
Graduation Requirements
Application For Admission
All individuals interested in applying for admission to the university must complete an application and submit a non-refundable registration fee of $150.00 (payable by check, money order, or credit card). Checks and money orders should be made payable to Birchwood University.
Applicants must also provide all required application documents to be considered for admission. Once an admissions decision has been made, the candidate will receive an email with further instructions. Admissions agents will maintain regular contact with applicants to ensure all necessary documents are received by the admissions 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.
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Master of Science in Data Science Course - Key Highlights
Earn a globally recognized online master's degree equally credible as offline.
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, 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
A summary of the courses you will learn during the program.
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
MDS540 | Machine Learning | 4 Credit Hours
MDS550 | Machine Learning Model Deployment | 4 Credit Hours
MDS560 | Artificial Intelligence | 4 Credit Hours
MDS570 | Data Visualization Using Tableau/Power BI | 4 Credit Hours
MDS600 | Capstone Project | 4 Credit Hours
Faculty Members
Explore insights, research, and expert perspectives shared by our faculty at Birchwood University.
Prof.Tilokie Depoo, Ph.D
Dr. Andrew Salisbury
Dr. Andrew Salisbury is a veteran educator and academic from England, UK, who has an eclectic background in the fields of engineering, computer science, business, and digital change. He possesses a BEng (Hons) and a PhD from Lancaster University and has complemented his qualification with postgraduate awards in the teaching and learning course at Sheffield University, achieving Fellowships in Higher Education (FHEA and SFHEA). His teaching portfolio consists of data analytics, object-oriented programming, AI, and machine learning online courses at various universities like UCL, Open University, University of Leeds, University of Edinburgh, University of Aston, and University of Bolton. Dr. Salisbury's research interests are management information systems, database design, and digital transformation with emphasis on the embedding of technology into business education.
Dr. Vinícius Dezem
Dr. Vinícius Dezem is a Brazilian banking executive and data-driven financial solutions expert, strategic management, and financial technologies. He has a Ph.D. in Engineering Knowledge Management from the Federal University of Santa Catarina (UFSC), with an area of focus on Open Banking APIs and decision support systems. His Ph.D. thesis, entitled "Strategies for Future Data-Driven Banking by Open Banking APIs," explores best practices for incorporating in-house and outsourced technology innovation in open banking.
The research highlights the flexibility and cost-saving nature of hybrid models in addressing tight deadlines and budget limitations. Professionally, Dezem has more than a decade of experience in banking. He has been a Banking Manager at Caixa Econômica Federal since 2012, where he has managed projects in data-driven branch optimization, credit structuring, project financing, and strategic partnership development. His job includes mentoring teams and developing a culture of ongoing improvement to drive improved performance.
Prof.Aida Mehrad, Ph.D
Prof.Egla Mansi, MS
Prof.Millet T.De Guzman, Ph.D
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Achieve your academic goals with a recognised degree. Gain knowledge, build skills, and open new career opportunities with a qualification designed to support your growth and future success.
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