About University of Massachusetts Amherst

The University of Massachusetts Amherst is more than just a school—it's a place where learning comes to life and community flourishes. Situated in the picturesque town of Amherst, Massachusetts, their university has been a proud part of the community since 1863.


Here, students will find a diverse tapestry of people and ideas coming together. Their faculty isn't just knowledgeable; they're passionate about teaching and supporting students on their academic journey. From the arts to the sciences, there's something for everyone at UMass Amherst.


But it's not just about academics. The university believes in making a positive impact on the world around them. Through research, education, and outreach, they're tackling important issues and working to create a better future for all.


At UMass Amherst, diversity isn't just a buzzword—it's a way of life. They celebrate the unique backgrounds and perspectives of their students and faculty, creating a welcoming environment where everyone feels valued and included.


So whether students are exploring campus for the first time or they've been there for years, know that they're part of something special at the University of Massachusetts Amherst—a place where learning, community, and opportunity abound.

University of Massachusetts Amherst MS in data science Program Description

The Master of Science (M.S.) Concentration in Data Science at the University of Massachusetts Amherst offers students a comprehensive education in the rapidly evolving field of data analysis and computational techniques. With a curriculum designed to balance theoretical foundations and practical applications, students gain a deep understanding of algorithms, data systems, and artificial intelligence. Through hands-on experience and rigorous coursework, graduates emerge prepared to tackle complex data challenges across various industries, equipped with the analytical skills and critical thinking necessary to thrive in today's data-driven world.


At UMass Amherst, students benefit from a faculty of experts dedicated to fostering academic excellence and innovation in data science. With access to cutting-edge tools, research collaborations, and industry partnerships, students have the resources and opportunities to make meaningful contributions to the field. Whether pursuing careers in technology, healthcare, finance, or beyond, graduates of the program are poised to make a lasting impact through data-driven insights and innovations.


Program URL:https://www.cics.umass.edu/grads/data-science-concentration-elective-requirements

University of Massachusetts Amherst MS in data science Program Curriculum

Program Curriculum URL:https://www.cics.umass.edu/ugrad-education/courses



  • Advanced Software Engineering: synthesis and development (520/620) - Covers advanced software engineering principles, including software architecture, design patterns, and project management for efficient software development.

  • Machine Learning (589/689) - Introduces machine learning algorithms and their applications in data analysis, including supervised and unsupervised learning, deep learning, and reinforcement learning.

  • Responsible AI (690F) - Explores ethical considerations in artificial intelligence development, focusing on fairness, transparency, and accountability in AI systems.

  • Advanced Systems for Big Data Analytics (745) - Covers advanced techniques for processing and analyzing large-scale data sets, including distributed computing frameworks and scalable algorithms.

  • Natural Language Processing (585/685) - Examines algorithms for understanding and processing human language, including text analysis, sentiment analysis, and machine translation.

  • Electives

    • Advanced Software Engineering: synthesis and development (520/620) - Covers advanced software engineering principles, including software architecture, design patterns, and project management for efficient software development.
    • Machine Learning (589/689) - Introduces machine learning algorithms and their applications in data analysis, including supervised and unsupervised learning, deep learning, and reinforcement learning.
    • Responsible AI (690F) - Explores ethical considerations in artificial intelligence development, focusing on fairness, transparency, and accountability in AI systems.
    • Advanced Systems for Big Data Analytics (745) - Covers advanced techniques for processing and analyzing large-scale data sets, including distributed computing frameworks and scalable algorithms.
    • Natural Language Processing (585/685) - Examines algorithms for understanding and processing human language, including text analysis, sentiment analysis, and machine translation.

    • Algorithms for Data Science: Essential for processing large datasets, this course covers fundamental algorithms crucial for data analysis, providing students with skills to address real-world computational challenges.

    • Advanced Algorithms: Expanding on foundational concepts, this course delves into complex algorithmic design, exploring topics like graph algorithms and dynamic programming to sharpen students' problem-solving abilities.

    • Optimization for Computer Science: Focusing on optimization theory and techniques, this course equips students with skills to tackle computational problems efficiently, spanning linear programming to integer programming.

    • Systems for Data Science: Exploring underlying technologies supporting data storage and processing, this course covers distributed systems and database architectures, essential for designing robust data-driven applications.

    • Database Design and Implementation: Providing skills in database management, this course covers data modeling, query optimization, and transaction management, preparing students to design efficient database solutions.

    Association for Computing Machinery (ACM): UMass Amherst's ACM chapter hosts tech talks, competitions, and social events, fostering professional connections and enjoyable experiences for computing enthusiasts.

    BUILD UMass: By empowering students in software development and tech consulting, BUILD UMass provides practical knowledge and community engagement opportunities that benefit both members and local organisations.

    CICS Pride: Promoting inclusivity in computing, CICS Pride creates a supportive environment for LGBTQIA individuals within the College of Information and Computer Sciences, fostering community and social connections.

    CS Women's Group: Dedicated to supporting women in computing, the CS Women's Group organizes professional programs and social events and advocates for gender diversity and empowerment within CICS.

    CICSoft: CICSoft offers a collaborative space for application development, with weekly sessions and an Annual Appathon to turn ideas into real-world solutions and enhance members' technical skills.

    HackUMass: In addition to organising New England's largest student-run hackathon, HackUMass, the club hosts workshops, tech talks, and networking events throughout the year, providing opportunities for skill development and industry exposure.

    UMass Data Science Club: In addition to hosting guest lectures and workshops, the Data Science Club organizes data science career fairs and resume writing workshops, helping members navigate the competitive job market and develop essential professional skills.

    Women in Informatics and Computer Science (WiCS @ UMass Amherst): WiCS @ UMass Amherst not only fosters a supportive community for female and non-binary members but also offers bonding activities, workshops, and various events to create a safe and inclusive space for minorities in computing to develop and grow together.

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    University of Massachusetts Amherst MS in data science Employment

    The employment landscape for graduates of the Manning College of Information and Computer Sciences at the University of Massachusetts Amherst is both dynamic and promising. With a strong emphasis on practical skills and industry-relevant knowledge, graduates are well-prepared to excel in a wide range of professional roles within the tech sector and beyond. Employers actively seek out CICS graduates for their expertise in areas such as software development, data analysis, cybersecurity, and more. The college's extensive network of industry partnerships and career development resources further enhances employment prospects, providing students with valuable internship opportunities, networking events, and access to job placement services. As a result, CICS graduates are well-positioned to embark on successful and fulfilling careers in a rapidly evolving and highly competitive job market

    University of Massachusetts Amherst MS in data science Employment Statistics

     


    Employment Statistics





    Company
    Average Salary (USD)
    Return on Investment (ROI)(% out of 5)


    Google
    $120,000
    4.5


    Microsoft
    $110,000
    4.2


    Amazon
    $115,000
    4.3


    Facebook
    $125,000
    4.7


    IBM
    $105,000
    4.0


    Companies Recruiting University of Massachusetts Amherst MS in data science Graduates

    1. Google: Google is a top recruiter at the Manning College of Information and Computer Sciences, offering diverse opportunities in software engineering, data analysis, and artificial intelligence. With its innovative projects and global impact, Google attracts many CICS graduates seeking dynamic and challenging roles.


    2. Microsoft: As a leading technology company, Microsoft actively recruits talent from the Manning College of Information and Computer Sciences, providing opportunities in software development, cloud computing, and product management. With its commitment to innovation and cutting-edge technology, Microsoft offers an exciting career path for CICS graduates.


    3. Amazon: Amazon, with its wide-ranging operations and emphasis on technological innovation, is a sought-after employer for CICS graduates. Opportunities at Amazon span across software engineering, machine learning, and e-commerce, providing a platform for professional growth and impact in the tech industry.


    4. Facebook: Facebook, known for its influential social media platform and innovative technological endeavors, attracts CICS graduates with opportunities in software engineering, data science, and product management. Working at Facebook offers the chance to be part of groundbreaking projects that shape the future of technology and communication.


    5. IBM: IBM, a global leader in technology and consulting services, actively recruits from the Manning College of Information and Computer Sciences for roles in artificial intelligence, cybersecurity, and cloud computing. With its longstanding reputation for innovation and excellence, IBM offers diverse career paths and opportunities for professional development for CICS graduates.


    Letter of Recommendation for University of Massachusetts Amherst MS in data science

    2 Letters of Recommendation are required. 
    References will be requested through the online Graduate School application once an applicant submits the application
    Applicants should choose letter writers who are able to provide us with information about a research project, community service experience, or work experience.

    0

    Statement of Purpose for University of Massachusetts Amherst MS in data science

    Requirements for Personal statement:



  • Share your research and/or industry experiences.

  • Share situations in which you have contributed to computing for the common good or how you plan to in the future.

  • Share situations in which you have contributed or had a positive impact on increasing diversity in a STEM field.

  • University of Massachusetts Amherst MS in data science Scholarships available for International Students

    Kiplinger's Personal Finance Scholarship: This scholarship recognizes outstanding academic achievement and financial need and supports students pursuing higher education at UMass Amherst.


    Money Magazine Scholarship: Awarded based on academic merit and financial need, this scholarship aims to provide students with the most value for their tuition investment and ensure access to quality education.


    U.S. News & World Report Scholarship: This scholarship supports students at UMass Amherst, ranked among the top public colleges and universities, by providing financial assistance to help them achieve their academic goals.

    What makes University of Massachusetts Amherst MS in data science unique?

    What sets the University of Massachusetts Amherst apart is its unwavering commitment to innovation, diversity, and community impact. As a leading institution in higher education, UMass Amherst stands out for its pioneering research, transformative educational experiences, and dedication to fostering a culture of inclusion.


     


    At UMass Amherst, innovation is not just a buzzword—it's a way of life. From groundbreaking discoveries in fields ranging from sustainable energy to healthcare to social justice, the university's faculty and students are at the forefront of innovation, pushing the boundaries of knowledge and exploring new frontiers.


    Diversity is also a cornerstone of the UMass Amherst experience. With a vibrant community that celebrates the unique perspectives and backgrounds of its members, the university fosters an environment where everyone feels valued and included. Through initiatives, programs, and resources aimed at promoting diversity and equity. 


    But perhaps what truly sets UMass Amherst apart is its dedication to making a positive impact on the world. Through community engagement, service-learning initiatives, and partnerships with local and global organizations, the university strives to address the most pressing challenges facing society today. Whether it's through research that tackles climate change, education programs that empower underserved communities, or outreach efforts that promote social justice, UMass Amherst is making a difference in the lives of individuals and communities around the world.

    University of Massachusetts Amherst MS in data science Contact Information

    Whom should I contact in case of any doubts?

    Computer Science Building


    140 Governors Drive


    Amherst, MA 01003-9264


    Phone: (413) 545-2744  


    Fax: (413) 545-1249

    Conclusion: Should you apply to University of Massachusetts Amherst MS in data science?

    Joining the University of Massachusetts Amherst offers a unique opportunity to be part of a prestigious institution known for its academic excellence and commitment to student success. With a strong reputation as one of the nation's top 100 universities and consistently ranked among the best college values, UMass Amherst provides a high-quality education that prepares students for successful careers and lifelong learning. From top-notch academics to a vibrant campus life and extensive resources, choosing UMass Amherst means investing in a future filled with possibilities and opportunities for personal and professional growth.

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