University of Maryland Baltimore County (UMBC)

To be eligible for the UMBC MS in Data Science program, prospective students are generally required to meet the following eligibility requirements:

The acceptance rate for graduate programs, including the MSc in Data Science, can vary from university to university and is subject to multiple factors. The acceptance rate is determined by the number of applications received and the number of offers extended by the university. It is important to note that the acceptance rate is influenced by various factors, such as the competitiveness of the applicant pool, the specific program's capacity, and the university's admission criteria.

UMBC MS in data science tuition fees for a student taking one (three-credit) course:

Fall 2023 Tuition and Fees

Main Campus Fees

Breakdown of fees for a student of university of Maryland Baltimore County MS in data science taking one (three-credit) course at UMBC Main Campus:

The admission process at UMBC MS in Data Science is designed to evaluate candidates based on their academic qualifications, potential to succeed in the field, and fit with the program's goals and values. Here is a generic overview of the admission process as of my last training cut-off in September 2021:

• Application: Prospective students must submit an online application through the university's application portal. You should make sure to start your application well in advance of the deadline to ensure you have plenty of time to gather all required documents.
• Transcripts: Applicants must submit official transcripts from all post-secondary institutions they've attended. Transcripts should show a record of strong academic performance, particularly in areas relevant to data science.
• Test Scores: Applicants are typically required to submit GRE (Graduate Record Examination) scores. Some programs may also accept GMAT (Graduate Management Admission Test) scores as a substitute. International students might be required to provide TOEFL or IELTS scores to demonstrate English proficiency.
• Letters of Recommendation: Typically, you would need to provide two or three letters of recommendation. These should be from individuals who can speak to your academic abilities, professional achievements, and potential to succeed in the field of data science.
• Statement of Purpose: The statement of purpose is your opportunity to tell the admissions committee about your career goals, why you're interested in the MS in Data Science program at UMBC, and what you hope to contribute to the field. This is a key component of your application and should be written with great care.
• Resume/CV: Applicants should submit a current resume or CV detailing their education, work experience, skills, and any relevant projects or accomplishments.

Once all materials have been submitted, the admissions committee will review your application. This process can take several weeks. If the committee decides to move forward with your application, you may be invited for an interview, either in-person or via video call.

The UMBC MS in Data Science program equips graduates with the skills and knowledge necessary to thrive in the dynamic field of data science. With a placement rate of 91%, graduates of this program have a strong track record of finding employment in diverse industries.

In the technology/software sector, companies like Accenture, Amazon, Microsoft, Mitre Corp, and Scribe America offer exciting career opportunities for UMBC MSc in Data Science graduates. These companies are at the forefront of technology innovation, and with their strong presence in the market, they provide a range of data-driven roles where graduates can apply their skills.

Consulting and professional services firms like Booz Allen Hamilton and Deloitte seek the expertise of  UMBC graduates to help clients navigate complex data challenges. With their strong analytical and problem-solving skills, graduates contribute to a range of projects, providing data-driven insights and solutions to clients across various industries.

The defense/aerospace industry also offers exciting prospects for University of Maryland Baltimore county MS in data science graduates. Companies like Collins Aerospace, General Dynamics, Lockheed Martin, Northrop Grumman Corp., Raytheon Technologies, Textron Systems, and the U.S. Armed Forces provide opportunities to apply data science skills in areas such as defense technology, aerospace systems, and national security.

In the financial services sector, companies such as Morgan Stanley and T. Rowe Price recognize the value of data science in driving financial analysis, risk management, an  d investment strategies. Graduates can contribute their skills to support these companies' data-driven decision-making processes.

Government and research institutions, including Maryland Public Schools, the National Institutes of Health, and the State of Maryland Government, actively seek data Science graduates for data analysis, policy research, and program evaluation roles. These institutions rely on data-driven insights to make informed decisions and drive impactful initiatives.

LOR stands for Letter of Recommendation. It is an important component of the application process for the UMBC MS in Data Science program. LORs provide insights into an applicant's academic abilities, character, work ethic, and potential for success in the program. They are typically written by professors, mentors, or professionals who have had significant interactions with the applicant and can speak to their qualifications and suitability for the program.

Tips for Writing an LOR for University of Maryland Baltimore County MS in data science:

• Personal Knowledge:

  Write the LOR only if you have significant personal knowledge of the applicant's abilities, achievements, and character. The more specific and detailed your observations, the stronger the LOR will be.

• Focus on Relevant Skills:

  Highlight the applicant's relevant skills and qualities that align with the requirements and expectations of the UMBC MS in Data Science program. Provide specific examples or anecdotes that demonstrate these skills in action.

• Provide Context:

  Include information about your relationship with the applicant, such as the duration of your association, the nature of your interactions, and any specific projects or coursework you have supervised. This context helps the admissions committee understand the basis of your assessment.

• Be Honest and Balanced:

  Provide an honest assessment of the applicant's strengths and weaknesses. Be objective and balanced in your evaluation, offering constructive criticism where necessary. However, ensure that the overall tone of the letter remains positive and supportive.

• Showcase Impact:

  If possible, highlight any specific accomplishments, research projects, or significant contributions the applicant has made under your guidance. Illustrate the applicant's ability to go beyond expectations and make a meaningful impact.

• Proofread and Edit:

  Ensure that the LOR is well-written, free of grammatical errors, and professionally presented. Take the time to proofread and edit the letter to maintain its clarity and coherence.

SOP stands for Statement of Purpose. It is a crucial component of the application process for the UMBC MS in Data Science program. The SOP provides applicants with an opportunity to showcase their motivations, qualifications, and future aspirations related to pursuing a Master's degree in Data Science. It is an essential document that helps the admissions committee assess the applicant's fit for the program.

Tips for writing SOP for University of Maryland Baltimore County MS in data science:

• Research and Understand the Program:

  Thoroughly research the MS in Data Science in UMBC program to understand its specific offerings, faculty expertise, and research opportunities. Highlight why the program aligns with your academic and career goals.

• Showcase Relevant Experiences:

  Highlight your academic achievements, internships, research projects, or work experiences that demonstrate your proficiency in Data Science. Emphasize how these experiences have shaped your interest and prepared you for the program.

• Express Motivation:

  Clearly articulate your motivations for pursuing an MS in Data Science at UMBC. Explain why you are passionate about the field, how it aligns with your long-term goals, and how the program at UMBC will contribute to your growth.

• Be Specific and Concise:

  Use specific examples and anecdotes to support your claims and demonstrate your qualifications. Keep your SOP concise and focused, highlighting the most relevant information.

• Demonstrate Fit with UMBC:

  Showcase your knowledge of UMBC, its faculty, research centers, and unique aspects of the MS in Data Science program. Explain why UMBC is the right fit for your educational and professional aspirations.

• Proofread and Edit:

  Pay careful attention to grammar, spelling, and sentence structure. Ensure that your SOP is well-organized, coherent, and free of errors. Seek feedback from professors, mentors, or professionals to refine your statement.

The UMBC MS in Data Science program stands out due to several unique features that set it apart from other programs:

• Practical and Experiential Learning: UMBC's program emphasizes hands-on, practical learning experiences. Students have the opportunity to work on real-world projects and collaborate with industry partners, gaining valuable experience in data analysis, machine learning, and statistical modeling. This practical approach ensures that graduates are job-ready and equipped with the skills needed to succeed in the field of data science.
• Strong Industry Connections: UMBC has established strong ties with the tech industry, providing students with access to internships, job placements, and networking opportunities. Through partnerships with local and national businesses, government agencies, and research institutes, students can connect with industry professionals, gain insights into industry trends, and explore potential career paths.
• Cutting-Edge Curriculum: The University of Maryland Baltimore County MS in data science program offers a comprehensive curriculum covering a wide range of relevant topics. Students develop a strong foundation in theoretical concepts and practical applications, from data exploration and visualization to advanced machine learning algorithms and predictive modeling. 
• Research Opportunities: UMBC is renowned for its vibrant research community, and data science students have the opportunity to engage in cutting-edge research projects. 
• Inclusive and Collaborative Community: UMBC fosters an inclusive and collaborative community where students from diverse backgrounds come together to learn and grow. The program encourages teamwork, innovation, and interdisciplinary collaboration, mirroring the collaborative nature of data science in real-world settings.

The University of Maryland Baltimore County (UMBC) holds a strong commitment to academic excellence, diversity, and fostering a vibrant learning community. As applicants consider UMBC, it is essential to understand the values the university holds dear and the invaluable opportunities it provides to students. UMBC recognizes and values the following traits and qualities in its applicants:

• Intellectual Curiosity: UMBC values applicants who possess a genuine thirst for knowledge and a passion for intellectual exploration. The university seeks individuals who demonstrate a natural curiosity, a desire to ask meaningful questions, and a commitment to lifelong learning.
• Dedication to Excellence: UMBC admires applicants who strive for excellence in their academic pursuits, extracurricular activities, and personal endeavors. The university seeks students who show a strong work ethic, a commitment to personal growth, and a determination to achieve their goals.
• Diversity and Inclusivity: UMBC deeply values diversity in all its forms and welcomes applicants from different backgrounds, cultures, and perspectives. The university seeks to create a vibrant and inclusive campus community that fosters a rich exchange of ideas, experiences, and worldviews.
• Collaborative Spirit: UMBC appreciates applicants who exhibit a collaborative mindset, recognizing the power of teamwork and collective efforts in achieving common goals. The university values students who actively engage in collaborations, communicate effectively, and contribute positively to their communities.
• Social Responsibility: UMBC places importance on applicants who demonstrate a sense of social responsibility and a commitment to making a positive impact on society. The university encourages students to engage in community service, advocacy, and ethical leadership, instilling a sense of civic engagement and global citizenship.

At UMBC, applicants find a university that not only values these qualities but also provides exceptional opportunities to nurture their potential and thrive in their chosen fields. Here are some of the values that UMBC offers to its applicants:

Innovative and Rigorous Education: UMBC provides applicants with an innovative and rigorous education that prepares them to excel in their chosen disciplines. Through expert faculty, cutting-edge research, and dynamic coursework, students receive a high-quality education that equips them with the knowledge and skills needed to succeed.
Supportive and Inclusive Community: UMBC fosters a supportive and inclusive community where applicants can feel a sense of belonging. The university offers resources, programs, and support services to ensure that every student has access to opportunities for personal growth, academic success, and overall well-being.
Research and Experiential Learning: UMBC emphasizes research and experiential learning opportunities, allowing applicants to engage in hands-on experiences, collaborate with faculty on ground breaking research, and apply classroom knowledge to real-world challenges. These experiences foster critical thinking, problem-solving abilities, and a deeper understanding of their chosen fields.
Global Perspective and Cultural Enrichment: UMBC provides applicants with a global perspective by offering diverse academic programs, study abroad opportunities, and a multicultural campus environment. Through interactions with students from different backgrounds and exposure to a range of cultures, applicants gain a broader understanding of the world and develop intercultural competence.

Deciding whether to apply to a particular UMBC MS in Data Science program is a deeply personal decision and depends on several factors, including your career goals, personal interests, financial considerations, and more.

• Robust Curriculum: The program's interdisciplinary curriculum, which incorporates statistics, machine learning, and big data, provides a comprehensive foundation in data science. This can prepare you for a wide range of data-related roles across various industries.
• Experienced Faculty: Learning from a faculty comprised of seasoned professionals and researchers can provide both theoretical knowledge and practical, industry-relevant skills.
• Flexibility: With both full-time and part-time program options, the course can accommodate both recent graduates and working professionals.
• Research Opportunities: If you're interested in the cutting-edge of data science, the program provides opportunities for research in various aspects of the field.
• Industry Connections: UMBC's strong ties with the industry can offer possibilities for internships, projects, and potential job placements.
• Alumni Network: Joining UMBC means becoming part of a broad, active alumni network, which can provide opportunities for networking and mentorship.

However, before making your decision, it's important to conduct your research. Consider reaching out to current students or alumni of the program to hear about their experiences. Evaluate the course content to ensure it aligns with your career goals. If possible, visit the campus or attend an open day or information session to get a feel for the community and culture.

In summary, UMBC's Master of Science in Data Science program offers a comprehensive education in data science, with a combination of theoretical and practical learning, and a diverse, active community. If these factors align with your career and academic goals, it might well be worth considering an application.