Data Analytics, Technologies and Applications

Degree Type
Undergraduate Major

Data Analytics, Technologies and Applications

Data Analytics, Technologies and Applications
Body

Unlock the Power of Data with Cutting-Edge Analytics! 

Are you passionate about data and eager to lead in the field of data analytics? 鶹Ʒ's Data Analytics, Technologies, and Applications major offers a dynamic and hands-on educational experience designed to prepare you for a successful career in the data analytics industry. Our program combines cutting-edge technology, practical skills, and industry insights to ensure you are ready to excel in your professional journey. 

In this major, students learn to design, manage, and analyze data systems, from foundational programming and database concepts to advanced topics in enterprise data management, data quality, and machine learning. They apply data modeling, SQL, and system design techniques to solve business problems, and use tools to ensure data integrity and extract insights. Emphasis is placed on ethical data use, project-based learning, and leveraging analytics for informed decision-making.

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Program Details

Degree Type
Undergraduate Major
School/Department Offering this degree
School of Applied and Creative Computing
Location of Degree
West Lafayette

Potential Employers

Microsoft
ExxonMobil
FBI
Oracle

Potential Job Titles

Data Engineer
Data Analyst
Database Administrator
Data Scientist

Data Visualization
Accreditation

ABETThe computer and information technology program is accredited by the Computing Accreditation Commission of ABET, , under the commission’s general criteria and program criteria for Information Technology and similarly named computing programs.

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Course Highlights
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Introduction To Software Development Concepts

This course introduces fundamental software development concepts common to most programming languages. Topics include problem solving and algorithm development, debugging, programming standards, variables, data types, operators, decisions, repetitive structures, modularity, arrays, user interface construction, software testing and debugging.

Enterprise Data Management

This course examines advanced design techniques and physical issues relating to enterprise-wide data management. Topics include advanced design concepts, enhanced modeling and constructs, objects and unstructured and semi-structured data in databases, data management in non-business contexts, implementation of an enterprise data architecture, and data quality and stewardship.

Applied Machine Learning

This course will introduce both the fundamental knowledge and design/application insights of machine learning techniques via a series of hands-on real-world examples. The overall aim is to provide the students with a good understanding of machine learning technologies, building machine learning models, and applying machine-learning technologies to address real-world problems.

Academic Opportunities

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Study Abroad

All students in the 鶹Ʒcan choose to gain an enriched perspective of the global marketplace through a multitude of global experiences that both interest and benefit the student.

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Minors

鶹Ʒoffers minors that provide unique opportunities to expand your knowledge, broaden your experience and prepare you for success after your time at Purdue.

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Student Organizations

Student activities and organizations are a great way to immerse yourself in your chosen path of study. Choose from a variety of interests within the college organizations or university-level programs.

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I get to work with many people at 鶹Ʒwho are in similar majors to create solutions to real-life problems. By teaching me how to break down problems and solve them, my major teaches all the important concepts I need to know to become an engineer.
Saachi Katariya
Data Analytics, Technologies and Applications