Data Analytics

View the 2023-2024 Academic Catalog to find course titles, numbers and descriptions.

Requirements for a minor in Data Analytics

• IDDS1000 Digital Citizenship(SI)(SS)
• IDDS1101 Introduction to Programming (QA)(QR)
• IDDS2201 Data Analytics
• IDDS2132 Practical Machine Learning
• ART2132 Data Visualization(AI-A)(VCI)

Choose one elective:

• BIOL3151 Exercise Physiology
• CHEM2104 Analytical Chemistry
• COMM2515 Research Methods for Communication & Media
• COMM3708 Digital Culture and Social Media Promotion
• IDDS2101 Programming II and Introduction to Computer Science 
• MKTG3110 Marketing Research
• PHIL1116 Ethics in Science (M) (ER)
• PHIL2205 Ethics & Technology (ER) 
• POLSC2701 Research Methods in Political Science (WI)
• PSYCH2802 Methods & Statistics II (QA) (QR)
• SOC2103 Qualitative Methods
• SOC2104 Quantitative Methods (QR)
• SOC4998 Community Action Research

Students minoring in Data Analytics will develop:

1. Techniques for collecting, storing, cleaning, and processing data. 
2. Mathematical and logical techniques for analyzing, modeling and exploring data.
3. Hands-on experience interrogating large data sets.
4. Experience developing and substantiating hypotheses using large data sets.
5. Awareness of recent social, political and economic change due to the use of data-oriented technologies in nearly all facets of society.
6. Understanding of how data science skills can be applid to their major discipline.
7. Competency with R and JavaScript programming.
8. Experience using machine learning and artifical intelligence to solve problems.

A minor in data analytics can open up various career paths in the field of data science, where you can use your skills to analyze and interpret large sets of data to inform business decisions. This minor is an excellent complement to many Emmanuel College majors. Here are some career options for data analytics :

• Data Analyst: As a data analyst, you would be responsible for analyzing and interpreting large sets of data to identify trends and patterns. You would use statistical techniques and software tools to prepare reports and presentations that help inform business decisions.
• Data Scientist: Data scientists are responsible for designing and building complex algorithms and models to analyze and interpret large datasets. You would use machine learning, predictive analytics, and other statistical techniques to uncover insights and inform business decisions.
• Business Intelligence Analyst: Business intelligence analysts use data to provide insights into how businesses are performing, identifying areas for improvement and recommending strategies for growth. You would work closely with business leaders to develop dashboards and reports that provide real-time insights into key performance indicators.
• Data Engineer: Data engineers are responsible for building and maintaining the infrastructure that supports data analytics. You would be responsible for designing and building data pipelines, integrating data from various sources, and ensuring that the data is accurate and up-to-date.
• Quantitative Analyst: Quantitative analysts use statistical models and data to make investment and financial decisions. You would be responsible for analyzing market trends and economic indicators to make investment decisions and manage risk.
• Marketing Analyst: Marketing analysts use data to inform marketing strategies and measure the effectiveness of marketing campaigns. You would analyze customer data to identify trends and preferences, and develop recommendations for improving marketing performance.

Overall, a degree in data analytics can prepare you for a career in a wide range of industries, from finance and marketing to healthcare and government. By using your skills to analyze and interpret data, you can help organizations make data-driven decisions that improve performance and drive growth.