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Students
Masters

Master's in Data Analytics Online

Southern New Hampshire University
Manchester , United States
Easy Apply
Students
Tuition Fee
Start Date
Not Available
Medium of studying
Fully Online
Duration
15 months
Program Facts
About Program
About University
Easy Apply
Program Facts
Program Details
Degree
Masters
Major
Artificial Intelligence | Computer Science | Data Analysis | Information Systems
Discipline
Computer Science & IT
Minor
Data Science | Machine Learning | Data Processing and Data Processing Technology | Data Modeling/Warehousing and Database Administration
Education type
Fully Online
Timing
Full time
Course Language
English
Intakes
Program start dateApplication deadline
2024-05-13-
About Program

Program Overview

SNHU's Master of Science in Data Analytics equips graduates with skills in data management, statistical analysis, and computational modeling. The program emphasizes data-driven decision-making, operational efficiency, and competitive advantage. Students can choose from electives such as Data Mining, Machine Learning, and Data Warehousing. Assessment includes coursework, projects, and a capstone, ensuring students' proficiency in applying data analytics principles.

Program Outline

Degree Overview:

SNHU's Master of Science (MS) in Data Analytics prepares graduates with skills in data and information management, statistical techniques and tools, and the ability to apply computational, analytical, and modeling skills to provide decision support to key stakeholders. The program emphasizes the identification and evaluation of data solutions, with a focus on helping businesses leverage information for effective decision-making, operational efficiency, and competitive advantage.

Outline:

The MS in Data Analytics program at SNHU comprises the following courses:

  • Descriptive Statistics and Analytics
  • Predictive Analytics
  • Data Visualization and Presentation
  • Data Analytics Life Cycle
  • Agile Scrum Management Techniques
    • In addition to these core courses, students may choose from a range of electives, including:
  • Data Mining
  • Natural Language Processing
  • Machine Learning
  • Data Warehousing
  • Data Governance

Assessment:

Assessment in the MS in Data Analytics program is based on a combination of coursework, projects, and a capstone. Coursework includes assignments, quizzes, and exams. Projects require students to apply their learning to real-world data analytics problems. The capstone project is a comprehensive project that demonstrates students' ability to synthesize and apply the knowledge and skills they have acquired throughout the program.

Teaching:

The MS in Data Analytics program is taught by a team of experienced faculty with expertise in data analytics, statistics, and computer science. The program is delivered online, with students able to access course materials and interact with faculty and classmates at their own pace.

Careers:

Graduates of the MS in Data Analytics program are prepared for a variety of roles in the field of data analytics, including:

  • Data Analyst
  • Operations Research Analyst
  • Statistician
  • Data Scientist
  • Business Intelligence Analyst
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