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    Learn from Real-world Data Science Implementations

    Designed in extensive consultation with industry professionals, this program is unique in its focus on the most current knowledge, software, and skillsets undergirding successful real-world data science initiatives.

    The program begins with a focus on Data Analytics and Data Storytelling using industry-leading software. It progresses through Data Warehousing and Data Engineering, and it finishes with a carefully crafted progression of courses in Machine Learning. Threaded throughout the program are the key emphases in Data Governance, Statistics for Data Science, and Data Ethics.

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    Data Science 122 1

    Program Learning Outcomes

    In completion of the Master of Science degree in Data Science, students will:

    1. Analyze data systems and data sets and identify steps for data preparation, descriptive analytics, data storytelling, and predictive modeling, consistent with current best practices in Data Science.
    2. Design, develop, test, and evaluate data preparation, analysis, and modeling processes and projects in relation to defined user questions and needs.
    3. Identify, analyze, and develop sound judgments related to professional, legal, and ethical problems arising in Data Science and related fields.
    4. Communicate effectively in interpersonal, team, and large group contexts.
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    FAQs

    How rigorous is the Data Science curriculum?

    The curriculum is technically rigorous, with substantial emphasis on advanced mathematics, including Calculus, data structures, and programming. Students uncomfortable with intensive math should consider our Business Analytics program.

    Who should enroll in this program?

    Ideal for students passionate about technology, programming, analytics, and ethical data management, who aspire to careers in technical data roles.

    How is this program different from Business Analytics?

    Data Science emphasizes coding and predictive modeling skills, preparing students for programming-intensive roles. Business Analytics focuses on less technical, business-oriented analytical skills suitable for entry-level business roles.

    What makes your Data Science program unique?

    Our curriculum is continually updated with industry input, featuring hands-on projects, internship opportunities, and ethical AI practices, ensuring students graduate ready for current industry challenges.

  • Program Talking Points:
    Icon of a city Global Perspectives - Collaborate with international peers and gain understanding through diverse approaches to AI.
    Icon of a chartboard Cutting-Edge Facilities - Access state-of-the-art labs and resources, mirroring the environments you'll encounter in the AI industry.
    Icon of a chartboard Competitive Hourly Credit: at $920 / credit hour. See tuition & fees

Designed in extensive consultation with industry professionals, the Master of Science in Data Science program is unique in its focus on the most current knowledge, software, and skillsets undergirding successful real-world data science initiatives.

Through hands-on experience and ethical practices, our graduates become leaders in transforming data into impactful decisions across industries.

Icon of a city Global Perspectives - Collaborate with international peers and gain understanding through diverse approaches to AI.
Icon of a chartboard Cutting-Edge Facilities - Access state-of-the-art labs and resources, mirroring the environments you'll encounter in the AI industry.
Icon of a chartboard Competitive Hourly Credit: at $920 / credit hour. See tuition & fees

Have Questions?

Request More Info

Learn from Real-world Data Science Implementations

Designed in extensive consultation with industry professionals, this program is unique in its focus on the most current knowledge, software, and skillsets undergirding successful real-world data science initiatives.

The program begins with a focus on Data Analytics and Data Storytelling using industry-leading software. It progresses through Data Warehousing and Data Engineering, and it finishes with a carefully crafted progression of courses in Machine Learning. Threaded throughout the program are the key emphases in Data Governance, Statistics for Data Science, and Data Ethics.

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Data Science 122 1

Program Learning Outcomes

In completion of the Master of Science degree in Data Science, students will:

  1. Analyze data systems and data sets and identify steps for data preparation, descriptive analytics, data storytelling, and predictive modeling, consistent with current best practices in Data Science.
  2. Design, develop, test, and evaluate data preparation, analysis, and modeling processes and projects in relation to defined user questions and needs.
  3. Identify, analyze, and develop sound judgments related to professional, legal, and ethical problems arising in Data Science and related fields.
  4. Communicate effectively in interpersonal, team, and large group contexts.
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Career Pathways
Data Science, MS

Newman University’s MS in Data Science program provides you with the knowledge and relevant skills to set you on the path to a fulfilling career.

Graduates from our Data Science program are prepared for rewarding roles, including:

  • Data Scientist
  • Data Engineer
  • Machine Learning Engineer
  • Data Researcher
  • AI Engineer (typically requires advanced degrees)
  • Graduate studies in Data Science or Statistics

Our Data Science curriculum emphasizes essential technical skills:

  • Python Programming
  • Data Manipulation and Visualization
  • Machine Learning and
  • AI Systems
  • Predictive Modeling
  • Ethical Data Practices
Anthony Ferrante

"Dr. Straub encourages students to come in and talk to him about anything. He often said he wanted to be a mentor in life, not just in school. Going in, asking questions and building relationships with your advisor is key to your success in college."

Juan Cordova

"Newman gave me so much that I didn’t expect and wasn’t looking for. The experiences I’ve gotten here make me feel proud of myself. People at Newman know my name, they know where I’m from. Newman gave me so much that I didn’t expect and wasn’t looking for. The experiences I’ve gotten here make me feel proud of myself."

FAQs

How rigorous is the Data Science curriculum?

The curriculum is technically rigorous, with substantial emphasis on advanced mathematics, including Calculus, data structures, and programming. Students uncomfortable with intensive math should consider our Business Analytics program.

Who should enroll in this program?

Ideal for students passionate about technology, programming, analytics, and ethical data management, who aspire to careers in technical data roles.

How is this program different from Business Analytics?

Data Science emphasizes coding and predictive modeling skills, preparing students for programming-intensive roles. Business Analytics focuses on less technical, business-oriented analytical skills suitable for entry-level business roles.

What makes your Data Science program unique?

Our curriculum is continually updated with industry input, featuring hands-on projects, internship opportunities, and ethical AI practices, ensuring students graduate ready for current industry challenges.

  • About Our Faculty

    Data Science Department

    Our MS in Data Science instructors are experienced professionals actively engaged in the latest industry developments. Their expertise ensures students learn cutting-edge techniques in machine learning, predictive analytics, and ethical data management, preparing them for immediate success in the workforce.

  • Travel 09

    Career Pathways
    Data Science, MS

    Newman University’s MS in Data Science program provides you with the knowledge and relevant skills to set you on the path to a fulfilling career.

    Graduates from our Data Science program are prepared for rewarding roles, including:

    • Data Scientist
    • Data Engineer
    • Machine Learning Engineer
    • Data Researcher
    • AI Engineer (typically requires advanced degrees)
    • Graduate studies in Data Science or Statistics

    Our Data Science curriculum emphasizes essential technical skills:

    • Python Programming
    • Data Manipulation and Visualization
    • Machine Learning and
    • AI Systems
    • Predictive Modeling
    • Ethical Data Practices
  • Anthony Ferrante

    "Dr. Straub encourages students to come in and talk to him about anything. He often said he wanted to be a mentor in life, not just in school. Going in, asking questions and building relationships with your advisor is key to your success in college."

    Juan Cordova

    "Newman gave me so much that I didn’t expect and wasn’t looking for. The experiences I’ve gotten here make me feel proud of myself. People at Newman know my name, they know where I’m from. Newman gave me so much that I didn’t expect and wasn’t looking for. The experiences I’ve gotten here make me feel proud of myself."

About Our Faculty

Data Science Department

Our MS in Data Science instructors are experienced professionals actively engaged in the latest industry developments. Their expertise ensures students learn cutting-edge techniques in machine learning, predictive analytics, and ethical data management, preparing them for immediate success in the workforce.

Dean, School of Business & Technology
School of Business & Technology
316-942-4291 ext. 2255
Office: MN219A
|Undergraduate Business|MBA