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Technology Diploma in Data Analytics

Employers are seeking talented individuals to compile massive amounts of data (both structured and unstructured) and to interpret meaning from the results—packaging that analysis into business solutions. A recent employer survey from Avanade, a joint venture between Accenture and Microsoft, indicated that more than 60 percent of respondents believe that their employees need to develop new skills to translate data into insights and business values.

Run-of-the-mill analysts transform into valuable organizational assets by gaining storytelling skills that convert data into usable information that drives strategic business decisions. These recommendations are not necessarily given in isolation; rather, they may ladder-up to an overall recommendation that incorporates other findings from fellow coworkers and staff members. Employers are saying that it is not enough simply to present reports and dashboards using the latest software tools—they now are asking analysts to illustrate how data findings can be useful in driving the core strategies of an organization. The Diploma in Data Analytics affords a more thorough understanding of customer motivations in order to drive future growth.

Work Product

As a student in this program, you will be exposed to multiple data sources and data storytelling techniques, including but not limited to, primary research, syndicated research, compiled sources, data visualization software, and the latest trends in online activity.

Job Skills

  • Media placement—using data to inform advertising strategies
  • Knowledge of online ecosystems—social media, SEO, SEM, digital media, and content marketing (podcasts, blogs, etc.)
  • Advanced analytics—locating data patterns within data sets that are not obvious without the use of statistical and modeling techniques and software packages
  • Data visualization—organizing data into visually pleasing graphics and charts that help to eliminate the need to rely strictly on tables and spreadsheets
  • Data storytelling—analyzing data sets to discover “why,” and more important, what the next steps should be as a result of this analysis

 

Schedule and Format

  • Part-time
  • Blended (online and in-person)
  • Four noncredit courses
  • On average, students take one course per semester, fall/spring/summer
  • The Diploma must be completed within two years

 

The Diploma is awarded to students who successfully complete the four required courses within two years.

For additional information, or if you have any questions, please contact the Division of Programs in Business at diploma.dpb@nyu.edu.

Must be completed within

2 years

You'll Walk Away With

  • The ability to compare and contrast structured and unstructured data sets
  • An understanding of and the ability to apply advanced analytical techniques and software tools to uncover hidden patterns
  • Competency in integrating large amounts of data into visually pleasing images for broader strategic collaboration
  • The confidence to design and propose strategic recommendations based upon multiple data sources and inputs

Program Curriculum

COURSES THAT GIVE YOU THE SKILLS AND TRAINING YOU NEED TO START YOUR NEW CAREER

Program Curriculum

COURSES THAT PROVIDE FOUNDATIONAL INFORMATION IN THE FIELD WITH OPTIONS TO SPECIALIZE IN AN AREA RELEVANT TO YOUR NEEDS

REQUIRED

All Courses Required

Testing, Analysis, and Experimental Design

Learn the basic concepts of experimental design and analysis techniques for marketing tests used in traditional and evolving media channels.

2018 Summer
+ 1 more semester
2 sections

Database Management and Modeling

Learn the basics of databases and analytical techniques and tools used in direct and digital marketing to assess customer-relationship management.

2018 Summer
+ 1 more semester
2 sections

Data Visualization for Effective Communication

Gain the practical skills necessary to communicate information about data clearly and effectively through graphical means.

2 sections

Digital Marketing

Learn which digital channels to use, how to use them successfully, and how to integrate them into the total marketing mix.

2018 Summer
+ 1 more semester
2 sections

OPTIONAL

Complete 0

JobFocus: Data Analytics

Gain a better understanding of long-term career management topics in data analytics.

2018 Summer
+ 1 more semester
2 sections

General Admission Requirements

  • Resume
  • Two references
  • Essay
  • A bachelor’s degree or four years of professional experience

  • A satisfactory scholastic average [a minimum grade-point average (GPA) of 2.5 (C+) on a 4.0 scale]

Testing, Analysis, and Experimental Design

Learn the basic concepts of experimental design and analysis techniques for marketing tests used in traditional and evolving media channels.

2018 Summer
+ 1 more semester
2 sections

Database Management and Modeling

Learn the basics of databases and analytical techniques and tools used in direct and digital marketing to assess customer-relationship management.

2018 Summer
+ 1 more semester
2 sections

Data Visualization for Effective Communication

Gain the practical skills necessary to communicate information about data clearly and effectively through graphical means.

2 sections

Digital Marketing

Learn which digital channels to use, how to use them successfully, and how to integrate them into the total marketing mix.

2018 Summer
+ 1 more semester
2 sections

JobFocus: Data Analytics

Gain a better understanding of long-term career management topics in data analytics.

2018 Summer
+ 1 more semester
2 sections