BS in Information Technology, Data Science (MyPath)

Earn a B.S. in Information Technology with a data science focus through this online, self-paced program. Learn about data analysis, visualization, and industry-relevant skills. Gain certifications like CompTIA A+, Cloud+, and more. Existing certificates can earn direct college credit.

Learn Data Science and Technology Skills to Build a Career On

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Become a data scientist with this BS in Information Technology, data science emphasis. Coursework is delivered via UMass Global MyPath, our competency-based, online program, so you can work at your own pace. You’ll be able to quickly move through areas you’ve already mastered, focusing on new concepts. Our coursework was developed in coordination with Esri, and it will equip you with the data science, analytics, and GIS skills that are in high demand in the today’s economy. With this degree in hand, you’ll be well positioned to pursue a career managing big data in a wide range of organizations.

  • Credit for What You Know: Have you already earned one or more certificates? We’ll provide direct college credit for each of those that qualify (see the FAQs below).
  • Real World Skills and Value: You’ll learn how to collect, analyze, and interpret large and complex data sets using statistical and computational techniques. You’ll gain data visualization, machine learning, and data mining skills.
  • Earn Industry-Endorsed Certifications: Part of your final involves passing required industry certifications related to real-world IT applications, including CompTIA A+, CompTIA Cloud+, Microsoft Technology Associate (MTA), Software Development Fundamentals, and more. We offer these for free as part of your coursework.

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$3300/6 month access

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Ways to Learn

Online (Self-Paced)

(self-paced)

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Affordable, asynchronous classes that fit your work schedule, offered 100% online so you can learn while you earn.

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Let's Get started on Your future in IT

Imagine Your Future With A Degree In Data Science Emphasis

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    2. Based on BLS Occupational Employment Statistics and updated quarterly

    3. The University of Massachusetts Global does not guarantee a job to graduates upon completion of any program

    Admission Requirements

    Applicants for this program must complete the formal application process and submit required documents. Documents required vary based on the number of transferable credits and include:

    0 - 11 TRANSFERABLE CREDITS

    • High school diploma or GED equivalent
    • Official high school transcript indicating the date of graduation

    12 OR MORE TRANSFERABLE CREDITS

    • A minimum 2.0 cumulative GPA
    • Provide official transcripts from ALL colleges and universities attended
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    Admissibility and minimum transfer credit awarded will be determined based on the Community College of the Air Force, SMART, AARTS or JST transcripts.

    Transcripts

    Only credits from regionally accredited institutions may be accepted in transfer. Failure to report any previous academic work at another college or university may be considered a violation of academic integrity.

    HAVE QUESTIONS ABOUT UNDERGRADUATE REQUIREMENTS? Request more information>

    BS in IT Program Curriculum

    The UMass Global B.S. in Information Systems features wide-ranging coursework that has been created with what we call “backwards course design.” That means we look at the job/career/industry first, and then we reverse engineer the coursework to include what students will need to be ultimately valuable in their career. Your B.S. IT degree will prepare you for myriad data analysis and data management positions across industries.

    • General Education requirements provide the liberal arts tradition, the intellectual foundation that enables students to expand their perspectives beyond the focus of a major. UMass Global graduates will be intellectually flexible, creative, articulate, and prepared for active and life-long participation in the knowledge-based world of the 21st century. UMass Global GE requirements are comprised of 6 Subdomains and 13 Competencies:

      SUBDOMAIN: Communications

      COMC 410 Interpersonal Communications

      Understand the skills required to interact effectively with others.

      COMC 101 Oral Communications

      Deliver a well-organized oral presentation using delivery techniques and supporting materials appropriate for the audience

      ENGC 103 Written Communications Level A

      Identify and apply key components of effective writing skills and APA.

      ENGC 104 Written Communications Level B

      Compose written arguments that are coherent, grammatically correct, and rhetorically aware.

      SUBDOMAIN: Humanities

      PHLC 110 Creative and Critical Thinking

      Develop a creative solution to a historical, social, ethnic, economic, technological, and/or geographic problem.

      HUMC 110 Disciplinary Relationships

      Analyze relationships between disciplines such as history, literature, religion, philosophy, and the fine arts.

      HUMC 115 Human Experience

      Analyze the ways in which the human experience is influenced by historical, social, ethnic, economic, technological, and/or geographic contexts.

      SUBDOMAIN: Information Literacy

      LBSC 320 Information Literacy Level A

      Evaluate and cite various information resources to understand ethical research practices.

      LBSC 321 Information Literacy Level B

      Apply academic research practices to complete an academic research project.

      SUBDOMAIN: Natural Sciences

      NSCC 115 Methods and Applications

      Apply the principles, concepts, and methods of the natural sciences.

      NSCC 111 Principles and Concepts, Level A

      Understand the Scientific Method as a process and master the fundamental principles, concepts, and methods of biology.

      NSCC 112 Principles & Concepts Level B

      Master the fundamental principles, concepts, and methods of chemistry and environmental science.

      SUBDOMAIN: Quantitative Reasoning

      MATC 203 Quantitative Fluency, Level B

      Apply the concepts of statistical reasoning, data analysis, modeling, and interpretation.

      MATC 103 Quantitative Literacy, Level A

      Explain accurate calculations and symbolic operations used to interpret social and economic trends.

      SUBDOMAIN: Social Sciences

      SOSC 110 Behavior and Cognition

      Evaluate individual, organizational, and social behavior.

      SOSC 115 Social Systems

      Using a social systems perspective, investigate global problems and develop possible solutions.

    • UMass Global Global Information Technology Core requirements are comprised of 4 Subdomains and 18 Competencies.

      SUBDOMAIN: Information Technology Foundations

      CSCC 251 Computer Systems Architecture

      Demonstrate an understanding of computer systems architecture.

      CSCC 408 Database

      Demonstrate an understanding of database systems, their applications and tools used to develop databases.

      CSCC 200 Fundamentals of Information Technology

      Develop an understanding of information technology fundamentals

      CSCC 353 Networking

      Demonstrate an understanding of networks, and create a network.

      CSCC 270 Security

      Demonstrate an understanding of information system security, applications, and the tools used.

      SUBDOMAIN: Information Technology Management

      OLCC 350 Ethics and Social Responsibility

      Describe the importance of ethical principles and social responsibility to business decisions.

      CSCC 363 Data and Information Management

      Utilized industry best practices to manage and organize organization data and information.

      OLCC 355 Organizational Dynamics

      Demonstrate an understanding of the impact organizational dynamics has on performance.

      CSCC 315 Organizations, Management, and the Networked Enterprise

      Demonstrate an understanding of information systems in global business.

      OLCC 414 Team Building

      Demonstrate an understanding of the importance of team dynamics to organizational effectiveness, productivity, and communication within an organization.

      SUBDOMAIN: Information Technology Operations

      MATC 251 Discrete Mathematics

      Identify fundamental concepts of discrete mathematics as they apply to computer programming techniques.

      CSCC 497 Information Technology Capstone

      Design an information technology solution for an enterprise-wide organizational need.

      CSCC 361 Operating Systems

      Troubleshoot and utilize modern operating systems in a variety of business settings.

      CSCC 383 Applied Project Management

      Create a project management plan using applications and tools including GIS.

      CSCC 410 Systems Analysis and Design

      Demonstrate an understanding of systems analysis and design, applications and tools used.

      SUBDOMAIN: Software Development

      CSCC 362 Fundamentals of Software Development

      Recognize appropriate programming constructs utilized in the building, testing, and debugging of software programs.

      CSCC 470 Mobile Development Fundamentals

      Develop and deploy an effective mobile based program for the web and mobile devices.

      CSCC 360 Web Design Technologies

      Utilize web development foundations and standards in the design, development and deployment of interactive web content.

    • UMass Global Data Science Emphasis requirements are comprised of 4 Subdomains and 6 Competencies.

      Subdomain: Information Technology Foundations

      CSCC 301 Introduction to Programming
      Apply basic designing, coding, and documenting in diverse programming languages.

      Subdomain: Information Technology Management

      CSCC 364 Server Administration

      Use server administration techniques in the installation and maintenance of network infrastructure and director services.

       

      Subdomain: Information Technology Operations

      CSCC 306 Machine Learning
      Utilize data while applying a machine learning lens to diverse businesses and industries.

      Subdomain: Data Analysis

      CSCC 304 Spatial Visualization and Data Analytics
      Create spatial visualizations based on the data type and analysis outcomes.

      CSCC 420 Database Querying and Reporting
      Develop database queries to manage tables and data using common SQL commands.

      CSCC 478 Business Intelligence and Data Analytics
      Transform data into meaningful and useful information for business analysis and reporting needs.

      CSCC 395 Data Analytics Capstone
      Address predictive and prescriptive analytics with insights gained from organizational data analysis.


    WSCUC

    University of Massachusetts Global is accredited by the WASC Senior College and University Commission (WSCUC)

    CBEN Member

    UMass Global is a member of C-BEN. C-BEN recognizes that today, competency-based education is still an emerging field with a small number of people and institutions understanding enough to describe it or implement it. C-BEN’s efforts focus on three main priorities: growing demand, building capacity, and removing barriers.

    Meet Our Faculty

    Tim_Perez

    business

    Dr. Timothy Perez

    Professor of Business Administration and Information Systems Management

    Specialty

    Computer Science

    Information Systems

    Organizational Leadership

    Information Technology
    Monica Shukla-Belmontes

    business

    Dr. Monica Shukla-Belmontes

    Associate Dean, School of Business and Professional Studies, Associate Professor of Business Administration

    Specialty

    Business Administration

    Business

    Business Management Innovation

    Statistics

    Human Resources

    Information Technology
    All business & professional studies faculty
    Soham Ashodiya photo
    The competency-based education framework (MyPath) was great. I could fast forward through content I already knew, and focus on strengthening my knowledge on content I was weaker in.
    Soham Ashodiya
    BS, Information Technology (MyPath)
    I was surrounded by peers who went to school 10-15 years prior. I feel that my education catapulted me above my peers. After all, I was learning about current technologies and how to work in a global economy.
    Tami F.
    BS, Computer Information Systems
    Venita_testimonial
    If I put more time in it I can get it done faster.  The best part is that you find out what you do know and what you need to know.
    Venita C.
    BBA, Information Systems Management (MyPath)

    Frequently Asked Questions

    If you’re considering going back to school for a B.S. in Information Systems, Data Emphasis degree, you have more options than ever to choose from. Browse through these frequently asked questions to explore the right path for your career and find a UMass Global program that helps you achieve your goals.

    • The “Data Science” emphasis in this UMass Global IT degree positions you to become a data scientist upon graduation. That’s because our Data Science emphasis is comprised of 4 Subdomains and 8 Competencies, all specific to the world of data analysis.

      You’ll take courses in machine learning, database querying, spatial visualization, business intelligence, data analytics, and more. This focus will give you the tools to step into a career in data science upon receiving your degree.

      As with all areas of the technology world, you’ll need to continue to improve your skills and evolve with changes that come your way. Continuing education and earning additional certifications are a part of working in the IT universe.

    • University of Massachusetts Global accepts the following industry standard certification examinations for college credit in the competency-based Bachelor of Science in Information Technology degree program:

      • CIW: CIW Web Foundations Associate, CIW Database Design Specialist
      • CompTIA: CompTIA IT Fundamentals, CompTIA Projects+, CompTIA Network+ Exam, CompTIA A+ 220-901, CompTIA A+ 220-902, CompTIA Security+
      • Microsoft: Windows Server Admin Fundamentals, MCP: Server Virtualization, MCP: Querying Microsoft SQL Server 2012
      • MTA: MTA Database Fundamentals Topics, MTA Software Development Fundamentals, MTA HTMLS Application Dev Fundamentals
    • Data science is a distinct and specialized part of the IT world. While information technology spans a wide range of activities, everything from software development to infrastructure management, data science focuses specifically on extracting insights from data through techniques such as data analysis, machine learning, and statistical modeling. Data science leverages information technology to make sense of vast amounts of data that would otherwise be too overwhelming and too broad based to make any sense out of.

    • No, information technology (IT) is not the same as data science. IT encompasses a broad range of activities related to managing, maintaining, and utilizing technology infrastructure, including computer systems, networks, software, and hardware. It focuses on the operational aspects of technology within organizations.

      Data science, on the other hand, is a specialized field within IT that deals specifically with data-related tasks such as data analysis, machine learning, and data modeling. Data scientists use IT tools and infrastructure to extract insights and knowledge from data, helping organizations make informed decisions. While IT provides the foundation, data science is a subset that focuses on extracting value from data.

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