Program Overview
The Mount Saint Mary's University Certificate in Data Analytics is an online program that equips students with the skills and experience necessary to succeed in data-driven fields. Through a combination of theoretical knowledge and hands-on projects, students develop expertise in data analysis, visualization, and predictive modeling, preparing them for careers as data analysts, data scientists, and other data-related roles. The program emphasizes ethical considerations and responsible data analysis practices, and students benefit from a supportive learning environment and access to online resources.
Program Outline
Degree Overview:
Overview:
The Mount Saint Mary's University (MSMU) Certificate in Data Analytics is a project-based program designed to equip students with the skills and practical experience necessary to succeed in the field. This online program focuses on developing expertise in data analysis, visualization, and predictive modeling.
Objectives:
- Equip students with the fundamental concepts and tools of data analysis.
- Develop students' ability to analyze and interpret data using various statistical methods and visualization techniques.
- Prepare students to apply machine learning algorithms to real-world problems.
- Foster critical thinking and problem-solving skills in the context of data analysis.
Description:
The program combines theoretical knowledge with hands-on projects, allowing students to gain practical experience in data analysis and model development. It caters to individuals seeking to enhance their career prospects in data-driven fields or change their career path entirely.
Outline:
The MSMU Data Analytics Certificate program consists of 18 credit hours across six courses:
Course 1: BUS 193 - Special Topics (3 credits)
This course introduces students to the field of data analytics and its applications in various industries.
Course 2: CSC II - Programming for Everyone 1 (3 credits)
This course provides students with the fundamental programming skills necessary for data analysis using Python.
Course 3: CSC III - Programming for Everyone 2 (3 credits)
This course builds upon the foundation established in CSC II and delves deeper into advanced programming concepts and data structures. This course introduces students to the core concepts of data analysis, including descriptive statistics, probability, and hypothesis testing.
Course 5: DAM II - Foundations of Data Analytics II (3 credits)
This course builds upon the statistical foundation established in DAM I and explores more advanced topics such as regression analysis and time series analysis.
Assessment:
The assessment methods in the Data Analytics Certificate program vary depending on the individual course. They may include:
- Exams: Assessing students' understanding of theoretical concepts and analytical techniques.
- Presentations: Assessing students' communication skills and ability to effectively present their findings.
- Quizzes: Evaluating students' comprehension of key concepts and progress throughout the course.
Teaching:
The Data Analytics Certificate program utilizes a blend of online lectures, interactive exercises, and group projects.
Careers:
The Data Analytics Certificate program prepares graduates for various career opportunities in data-driven fields, including:
- Data Analyst
- Data Scientist
- Business Intelligence Analyst
- Market Research Analyst
- Quantitative Analyst
- Financial Analyst
Others:
- The program starts with a cohort of students, creating a supportive learning environment and fostering collaboration.
- Students have access to online resources, including video lectures, tutorials, and datasets.
- The program emphasizes ethical considerations and responsible data analysis practices.
