Drive data-driven insights with a data analytics degree

100% online classes you can take right at home
Program length: 32 months
Transfer up to 90 approved credits
Small class sizes with industry-experienced instructors
Prep for certifications from Cisco, Microsoft and CompTIA—built-in as part of your tuition
Earn dual credit towards an MBA degree program

Waived enrollment fee

Classes start September 8th

Program

Support systems and help drive data-driven insights with a data analytics degree online.

Information technology is our newest form of infrastructure, and data is our newest resource. Through our Data Analytics degree concentration you’ll develop the knowledge and skills you need to offer organizations professional support on both fronts.

This unique 36-month online data analytics degree program concentration combines a foundation of networking and database management knowledge with specialized skills for:

Network management and security
Programming for data analytics
Data presentation and visualization
Statistics and data mining

Placing an emphasis on business intelligence applications, Herzing University's data analytics bachelor’s degree also helps you prepare for in-demand industry certifications from Cisco, Microsoft and CompTIA—all as part of your tuition.

Classes Start September 8th

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Careers

Data Analytics Career Prospects

Information technology skills and data analytics skills are in high demand across many industry sectors. For example, the US Bureau of Labor Statistics projects that one occupational category, operations research analysts, may grow 27% over the 2016-2026 period—much faster than the overall job growth rate of 7% for the same timeframe. If you bring experience with business to the table, you could have even better success in the job market.

A data analytics degree could be a good fit for you if you:

Are comfortable with mathematical approaches to problems
Enjoy working with large datasets and coding, as well as with network equipment
Are willing to work in a variety of corporate and organizational environments
Are skilled at troubleshooting and problem solving
Have strong writing and presentation skills to explain findings from data

Potential data analytics job titles:

Computer and Information Systems Managers
Computer Support Specialist
Network Engineer
Network Administrator
Computer Network Architect
Database Administrator
Data Manager
Data Engineer
Data Analytics Technician
Data Analyst

Advancing Your Career after Graduation

After gaining experience in the industry, you can advance as a data analyst by pursuing professional development. This can mean graduate-level education, such as our MBA in Data Analytics or another degree, or certification from one of the many industry providers available in this fast-growing field.

Another good step to take could include developing your knowledge of a particular business function, such as finance or marketing, in order to understand how data can support decision-making.

Ready to take the next step?

Enrollment fee WAIVED now through August 31^st

Find out which degree program is right for you. Call 1-800-596-0724 to learn more about Herzing's programs.

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Curriculum

Bachelor of Science in Information Technology with a concentration in Data Analytics Technology Program Curriculum

As a student in Herzing University's data analytics degree concentration program, you will prepare for a broad range of positions in the field of information technology. Through our industry-relevant curriculum, you will gain a foundation for select industry certifications as well as develop skills to mine and analyze data in order to derive meaningful information from large data sets.

Program	Credits	Months*
Bachelor of Science in Information Technology with a Concentration in Data Analytics Technology	120	32

*Average number of months for students to complete program
Program availability varies by location

Online & on-campus availability

The data analytics program may be completed online, with at least partial class availability offered at several Herzing locations:

Program delivery (online / on ground) may vary by location. Please call your campus for more information.

What certifications/licensure does the data analytics degree concentration prepare you for?

In addition to earning a bachelor's degree, you will have the opportunity to prepare for key networking certifications from Cisco, Microsoft and CompTIA, with the cost of these three certifications included in tuition.

Required Courses in Information Technology

All courses, 49.00 semester credit hours, are required.

IS 122 - Programming Logic 3.00

This course provides instruction in fundamental object-oriented programming concepts. Topics include problem solving and algorithm development, programming standards, variables, data types, operators, decisions, repetitive statements, modularity, methods, attributes, objects, classes, arrays, file I/O, and software testing and debugging, all within an object-oriented programming framework. Concepts may be introduced with a visual tool. Topics are demonstrated and implemented in a higher-level contemporary language such as Java or C#.

IS 123 - Computer Networks 3.00

This course provides instruction in network design and technologies using the Open Systems Interconnection (OSI) model. Topics include network fundamentals, the OSI model, network operating systems, TCP/IP fundamentals and utilities, network installation and upgrades, network remote access configuration and protocols, network administration and security, fault tolerance and disaster recovery considerations and procedures, and network troubleshooting procedures.

or IS 195 Transition to Technology Concepts *
* IS 195 is required of advanced standing students only.

IS 183 - Database Concepts and Applications I 3.00

This course provides an introduction to fundamental principles and guidelines for designing, developing, and implementing secure relational databases. Topics include: Database as a Service (DBaaS); entity relationships as foundations of relational database design; ensuring data integrity; the use of standard SQL as a means of developing complex queries; and the use of comparison operators to customize data presentation for reporting.

IS 187 - Computer Architecture and Troubleshooting I 3.00

This course provides instruction in microcomputer software and hardware concepts using the latest technology and troubleshooting techniques. Topics include the function and purpose of hardware and software, system board components and memory management, working with floppy and hard drives, supporting input and output devices, multimedia technology, supporting operating systems, printers, and notebook computers, troubleshooting fundamentals, applying disaster-recovery techniques and developing maintenance plans, and working with networks and the Internet.

IS 192 - Linux Administration 3.00

This course introduces the capabilities and features of Linux as a multi-user operating system. Topics include planning and installing a Linux system, using and managing desktop interfaces, working with Linux shells and text files, performing system administration and management tasks such as file system management, application, process, and module management, network services installation and configuration, system security evaluation and enhancement, performance tuning, and troubleshooting techniques.

IS 283 - Network Security 3.00

This course introduces basic security principles, such as establishing an effective security policy, and the different types of hacker activities that are most likely to be encountered. It will instruct the student in the latest security industry recommendations and how to properly protect leading OS servers in a variety of settings as well as how to conduct security audits.

IS 285 - Routers and Switches I 3.00

This course introduces part one of concepts and procedures required to utilize industry standard switches and routers in multi-protocol internetworks. Topics include exploring router components and their function, configuring routers according to the industry standard operating system (OS), routing fundamentals in a subnetted network infrastructure, and LAN design technologies. The class focuses on the TCP/IP protocol suite and IP addressing in regards to function and importance in a routed environment. Routing protocol basics, such as static and dynamic routing techniques, are covered, with extensive labs and hands-on exercises.

IS 287 - Routers and Switches II 3.00

This course is a continuation of the Routers and Switches I course and is based on current industry standards. The focus of the course will cover topics such as switching basics, intermediate routing, introduction to VLSM (variable length subnet masking), scaling IP addresses, route flapping, RIP version 2, Enhanced Interior Gateway Routing Protocol implementation, switching concepts in regards to LAN design, VLAN configuration, and VLAN trunking techniques. The class also explores the leading industry standards associated with WAN communication technologies and design such as ISDN, PPP, and Frame Relay operations.

IS 293 - Linux Application Server 3.00

This course is a study of intermediate to advanced topics regarding Linux server-based applications. Topics include advanced Linux system administration, using Linux as an e-mail server, FTP server, database server, web server, and news server. Topics will also discuss implementing Linux services including DHCP, DNS, NIS, firewall, and network security.

IS 296 - Python Programming 3.00

This course covers the Python programming language. Topics include the basic elements of programming, variables, assignment statements, built-in data types, conditions, loops, arrays, and I/O. This class covers programming skills such as algorithm development, and program design with functions. It also includes an introduction to object-oriented programming and GUI programming concepts and topics.

IT 120 - Technical Writing 1.00

This course is designed to help students develop skills that will enable them to produce clear and effective scientific and technical documents. Focus will be on basic principles of good writing-which scientific and technical writing shares with other forms of writing-and on types of documents common in scientific and technical fields and organizations. While the emphasis will be on writing, oral communication of scientific and technical information will form an important component of the course, as well. The processes and techniques used to produce manuals and other supporting documents to communicate complex and technical information more easily will be explored.

IT 346 - Information Technology Project Management 3.00

This course covers techniques and managerial concepts of information technology project management. It prepares students to manage complex information technology projects. Students are introduced to all five major process groups in project management, namely initiating, planning, executing, monitoring, controlling, and closing. Topics include project life cycles, cost benefit analysis, work breakdown structure, staffing, roles, responsibilities, accountability, finance, estimation, budgeting, planning, risk management, scheduling, and tracking. The course also introduces students to computer software for project management. Students will work in teams to design a project plan for a real-world IT project that demonstrates an ability to follow standard project management methodology.

** Completion of IT 346 Information Technology Project Management may be waived with the permission of the Academic Dean if the student has already completed BU 345 Project Management.

IT 368 - Cloud Computing 3.00

This course develops knowledge and skills in cloud computing. Students will learn cloud computing principles, architectures, and implementations. Topics include cloud computing history, principles, architectures, and implementations, cloud services and solutions, virtualization, network infrastructure and access, data storage, security, end-user access, and standards and compliance.

NT 181 - Network and Server Operating Systems 3.00

This course develops knowledge and skills in Microsoft Windows client and server operating systems. Topics include installing the client and server operating systems, planning, installing, managing, and troubleshooting server roles, features, and network services, implementing and conducting administration of resources, implementing, managing, and troubleshooting hardware devices and drivers, monitoring and optimizing performance, reliability and availability, managing, configuring, and troubleshooting storage use, configuring and troubleshooting the desktop environment and network connections, implementing, managing, and troubleshooting network protocols, and implementing, monitoring, and troubleshooting security.

NT 201 - Network Infrastructure Administration 3.00

This course is designed to provide instruction in implementing and administering a modern network infrastructure. Topics include installing, configuring, managing, monitoring, and troubleshooting domain name services, network protocols, Windows Internet Name Services (WINS), Internet Protocol Routing, network address translation (NAT), and Certificate Services.

NT 306 - Virtualization 3.00

This course provides instruction in computer operating system virtualization concepts and practices. Topics include business and performance benefits of virtualization, local and network storage management, creating and managing stand-alone virtual machines, cloning virtual machines, virtualization in the network operations center, software and network testing using virtualization, virtualization as a disaster recovery tool, and managing and tuning virtual machine and virtual infrastructure performance. Emphasis is placed on learning several virtualization environments and approaches, both proprietary and open-source. Concepts will be illustrated and enforced with a variety of actual installations and practical projects.

NT 326 - System Administration Scripting 3.00

This course provides an introduction to automating administrative tasks using scripts. Students will design and implement scripts of moderate complexity that automate administrative tasks such as the creation of user accounts, the administration of disk drive and printer, and the management of system services and event logs. Scripts may be written using languages such as Bourne and C, and Korn shells and JScript, VBScript, and Perl. Topics include tools and utilities, interactive command line programs, shell programming using constructs, variables, commands, functions, and debugging processes.

Required Courses in Technical Specialty Domain - Data Analytics

All courses, 24.00 semester credit hours, are required.

DA 301 - Statistics for Data Analytics 3.00

This course includes topics fundamental to understanding statistics methods used in the field of data analytics. Topics include probability, descriptive statistics, inferential statistics, regression and linearly uncorrelated variables(PCA).

DA 302 - Foundations of Data Analytics 3.00

This course provides the practical key techniques and tools used in data analytics, including the concepts, principles and practical applications that are relevant to the industry and technology environment. Learning will be supported and explained using open-source software, including Apache Hadoop, MapReduce and R. Students will have the opportunity to understand how these methods and tools are applied to real-world business challenges, including the analyses of data generated from IoT devices.

DA 304 - Python for Data Analytics 3.00

This course includes data analysis techniques using the Python programming language. That includes knowing how to import data, explore data, analyze data, learn from data, visualize data, and ultimately generate shareable reports. This course also introduces you to machine leaning, a powerful area of data analysis. This course introduces a collection of powerful, open-source tools including Python, Jupyter notebooks, pandas, and matplotlib.

DA 306 - R Programming for Data Analytics 3.00

This course teaches R, an open-source programming language for statistical computing and graphics. Topics include how to write functions, loops, and scripts that uses basic statistical functions and tools such as normal distribution, boxplots to analyze data and present data in a graphical way, demonstrating how to turn unstructured data into structured data, how to live link R to a database, and how to search online databases for answers.

DA 402 - Data Analytics and Projects I 3.00

This project based course focuses on a big data analysis solution using cloud services. Topics include creating clusters to process big data, connecting to clusters, uploading data, and running codes. Other projects include using tools for analyzing and querying data in a distributed environment, using user-defined functions and incorporating predictive analytics and machine learning.

DA 404 - Data Analytics and Projects II 3.00

This project based course presents Machine Learning technology. Advanced topics include using machine learning tools and algorithms to gather data, clean data, create data models, perform prediction, and process new data.

DA 408 - Data Management 3.00

This course includes the topics of advanced database management and reporting, and business intelligence (BI). This course is intended to teach a managed enterprise BI solution. Additional topics include how to implement multi-dimensional and tabular data models, delivering reports with industry standard tools, creating dashboards with industry standard tools, and discovering business insights by using data mining.

DA 410 - Data Presentation and Visualization 3.00

This course teaches data presentation and visualization. The topics include the learning of building blocks and services; connecting to data sources; cleaning and transforming of data; modeling data and managing your data relationship; creating calculated columns, measures, and tables; creating customized visualization; connecting and publishing and sharing dashboards and reports.

Elective Courses in Information Technology

A minimum of 6 semester credit hours in the field of information technology, information systems, computer science or a related discipline are required.

Required Capstone or Internship

All courses, 3.00 semester credit hours, are required.

DA 491 - Data Analytics Technology Capstone Project 3.00

In this course, students will work individually or in a project team on an industry-sponsored or instructor-approved project. They will identify a problem; develop and design specifications based on the stakeholder's needs; consider alternative designs; develop a schedule and a budget. Students will then design, develop, and test the proposed process or product. Interim reports.to the sponsor or to the class, a final project report, and a final presentation will be required.

IS 495 - Internship 3.00

This is an elective course in bachelor's programs that students may take in their final semester. The career internship course is designed for students interested in pursuing a career in the computer science and information technology fields. The outcome of the internship is an informed student fully apprised of the opportunities their program offers for professional growth. During the internship, the student will experience various aspects of working in the actual field in which the student has been educated. The internship is designed to provide the student with the opportunity to experience and participate in duties typical of a contemporary workplace setting. Student learning centers on observing experienced personnel as well as participating in actual hands-on procedures under close supervision of trained professionals.

♦ Online students in some states may not be allowed to take this internship due to state restrictions.

♦♦ Enrollment in a student readiness training is required prior to the internship course. Successful completion of training is required prior to internship course enrollment.

Required Courses in General Education

Students enrolled in this bachelor's degree must complete a minimum of 36.00 semester credit hours in general education distributed among the following disciplines. Refer to the General Education section of the catalog for specific information about courses within each discipline. 12.00 Semester Credit Hours in Communications 9.00 Semester Credit Hours in Humanities (must include 3 semester credit hours of cultural diversity) 6.00 Semester Credit Hours in Mathematics 3.00 Semester Credit Hours in Science 6.00 Semester Credit Hours in Social and Behavioral Sciences

Personal and Professional Development Courses

A minimum of 2.00 semester credit hours is required.

PD 121 - Professional Development I 1.00

This course is designed to introduce students to methodologies that will prepare them for academic and professional success. Topics include but are not limited to Canvas support, student support services, e-books, university policies, resumes, self-reflection, time management, goal setting, and strategies for anxiety reduction.

PD 202 - Professional Development II (Semester Credit Hour Course) 1.00

This course provides an opportunity for students to critically examine their skills and develop a plan to further their career and own financial literacy. Topics include research, job searching, developing career documents, refining interview and communication skills, and creating a personal budget.

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Data Analytics Degree Programs

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This program prepares students for a broad range of positions in the field of information technology. Foundational skills taught include end-user support, client/server operating systems, network infrastructure administration, security, scripting, database fundamentals, cloud computing, virtualization, data storage and technical communication. Advanced skills include database design, project management, information technology management and business systems analysis. Coursework in this program is designed to provide a foundation for select industry certifications.

Additional skills in data analytics technology include big data foundations, data analytics technologies, statistics for data analytics, data mining and analysis, data management and data presentation and visualization.

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Computer Programming

Cybersecurity

Information Technology (IT)

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I chose Herzing because I could get a bachelor's degree in three years. The thing that stood out for me was the variety of software programs Herzing offers.

Ryan Kinney

Technology Program

Madison Campus

Online Data Analytics
Bachelor's Degree Program

Drive data-driven insights with a data analytics degree

Waived enrollment fee