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Data Mining for Advanced Analytics

Design, build, verify, and test predictive data models.

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About the Data Mining for Advanced Analytics Program

Our Specialized Certificate in Data Mining for Advanced Analytics provides you with the skills to design, build, verify, and test predictive data models to make data-driven decisions in any industry.

Modern databases can contain massive amounts of data. Within this data lies important information that can only be effectively analyzed using data mining. Data mining tools and techniques can predict future trends and behaviors, allowing individuals and organizations to make proactive, knowledge-driven decisions.

Newly updated with additional data sets, a robust practicum course, a survey of popular data mining tools, and additional algorithms, in this program you will use real-life data sets from various industries to complete data mining projects. You will learn to plan and execute all the steps of data preparation, analysis, learning and modeling, and identifying the predictive/descriptive model that produces the best evaluation scores. Targeted elective courses allow you to learn further in-demand techniques, tools, and languages.

Key Program Topics
  • Model training, testing, and evaluation
  • Decision tables and trees
  • Classification rules
  • Association rules
  • Bayesian learning
  • Numeric prediction
  • Clustering
  • Ensemble learning
  • Artificial neural networks
  • Hidden Markov models
  • Support vector machines

For more information about this program, please contact unex-techdata@ucsd.edu.

  • Comprehensive hands-on training in immediately applicable skills
  • Industry-neutral curriculum allows you to apply knowledge to your field of interest
  • All courses can be taken online
  • Can be completed in only one year
  • Taught by leading industry practitioners
Who Will Benefit
  • Individuals wanting to grow their data analysis skills by learning predictive and prescriptive analytics skills
  • Individuals seeking a position as a data analyst, statistical modeler, or machine learning engineer in any industry
  • Software development engineers, systems engineers, financial analysts, software developers, solutions architects, marketing analysts, application engineers, or other roles which make use of large amounts of data
  • Anyone interested in learning high-demand data analytics, predictive analytics, and machine learning skills
  • According to Burning Glass, more than 70% of individuals in jobs requiring the skills taught in this program make more than $75,000 per year nationwide
  • Data Analyst or Statistical Modeler (Statistician) is an O*NET “Bright Outlook” job: a new and emerging role in a high growth industry, and expected to grow at a much faster than average rate
  • According to Burning Glass, top companies nationwide hiring individuals possessing the skills taught in this program in the past year include Accenture, Amazon, JP Morgan Chase, Oracle, Anthem Blue Cross, Deloitte, UnitedHealth, Microsoft, Booz Allen Hamilton, Bank of America, Verizon, Intel, and Apple
Format: Online

Estimated Cost: $4,544

Duration: 12-15 months

At least one year; most students complete the program in one year and three months

Contact
Department
Science & Technology
Phone
858-534-9351
Email
unex-techdata@ucsd.edu

Courses

Delivery Method
Show Legend
  • Live Online
  • In-Person
  • Online
  • Hybrid
  • Number of courses: Five or six courses (one prerequisite [can be waived], four required, and one elective)
  • Total units: 13-17

If you do not have prior knowledge of statistics, we recommend one of the following

Introduction to StatisticsCSE-41069

Units: 3.00

$695

Introduction to StatisticsStatistics encompasses the collection, analysis, and interpretation of data and provides a framework for thinking about data in a rigorous fashion. Statistics is used in many...

Upcoming Start Dates:
Typically Offered:

Fall, Winter, Spring, Summer

Introduction to Statistics using RCSE-41198

Units: 3.00

$725

Introduction to Statistics using RStatistics allows us to collect, analyze, and interpret data. The R programming language is one of the most widely-used tools for data analysis and statistical progra...

Upcoming Start Dates:
Typically Offered:

Fall, Winter, Spring, Summer

Statistics for Data AnalyticsCSE-41264

Units: 3.00

$650-$675

Statistics for Data AnalyticsStatistics can be used to draw conclusions about data and provides a foundation for more sophisticated data analysis techniques. Viewing questions about data from a statis...

Upcoming Start Dates:
Typically Offered:

Fall, Winter, Spring, Summer

Courses must be completed in the order listed

Fundamentals of Data MiningCSE-41258

Units: 3.00

$725

Fundamentals of Data MiningAn ever-increasing volume of research and industry data is being collected on a daily basis. Skilled data scientists are needed to process and filter the data, to detect new...

Upcoming Start Dates:
Typically Offered:

Fall, Spring

Data Preparation for AnalyticsCSE-41261

Units: 2.00

$595

Data Preparation for AnalyticsAn essential, yet often under-emphasized step in the data mining process is data preparation. Habitually, people are more inclined to focus on knowledge discovery, but wi...

Upcoming Start Dates:
Typically Offered:

Winter, Summer

Data Mining: Advanced Concepts and AlgorithmsCSE-41262

Units: 3.00

$725

Data Mining: Advanced Concepts and AlgorithmsAs the amount of research and industry data being collected daily continues to grow, intelligent software tools are increasingly needed to process and filt...

Upcoming Start Dates:
Typically Offered:

Fall, Spring

Data Mining PracticumCSE-41263

Units: 3.00

$850

Data Mining PracticumTheoretical knowledge of data preparation, data mining, and machine learning techniques can be very useful. However, in order to be a successful data scientist, you must be able t...

Upcoming Start Dates:
Typically Offered:

Winter, Summer

Choose one

Introduction to R ProgrammingCSE-41097

Units: 3.00

$695-$725

Introduction to R ProgrammingStatistical computing is employed within a diverse range of industries. In recent years, an open source project, R, has emerged as the preeminent statistical computing pla...

Upcoming Start Dates:
Typically Offered:

Fall, Winter, Spring, Summer

Text MiningCSE-41151

Units: 2.00

$595

Text MiningWith the vast amounts of unstructured data available on the web and stored in databases, and the promise it will provide insights unavailable in structured data, text mining has become an i...

Upcoming Start Dates:
Typically Offered:

Fall, Spring

Data Analytics Using PythonCSE-41204

Units: 3.00

$725-$750

Data Analytics Using PythonIn this course, you will learn the rich set of tools, libraries, and packages that comprise the highly popular and practical Python data analysis ecosystem. This course is p...

Upcoming Start Dates:
Typically Offered:

Fall, Winter, Spring, Summer

Not required for certificate

Data Science with RCSE-41308

Units: 3.00

$725

Data Science with RData management and manipulation is an essential task for data scientists who deal with data on a day-to-day basis. In recent years, many R packages were developed to tackle a wide ...

Upcoming Start Dates:
Typically Offered:

Fall, Spring

GIS I: Introduction to GISCSE-40991

Units: 3.00

$750

GIS I: Introduction to GISThe ability to analyze and manipulate spatial data is critical across many industries, including urban planning, healthcare, agriculture, mining, trade, environmental science...

Upcoming Start Dates:
Typically Offered:

Fall, Spring

Data Science using SASCSE-41320

Units: 3.00

$650

Data Science using SASThe Data Science using SAS class is a unique and focused class to better prepare you for high demanding Data Science Analyst level positions. This three unit and seven weeks clas...

Upcoming Start Dates:
Typically Offered:

Fall, Spring

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Conditions for Admission

Although programs are open to all adult learners, UC San Diego Extension programs are designed to best serve college-prepared working professionals. Where program capacity is limited, applicants with this profile will receive preference for admission.

Certificate Guidelines

Knowledge of statistics and probability theory is required. A foundation in a programming language and advanced mathematics such as linear algebra is recommended.

You may enroll in the certificate program at any time. However, it is recommended that you enroll as soon as possible. The program curriculum may be updated at any time; if certificate requirements change, you must adhere to the curriculum at the time of your enrollment into the certificate.

Frequently Asked Questions

Expand All

Are there any prerequisites for this program?

Knowledge of statistics is required prior to beginning required program courses. This prerequisite can be fulfilled by taking Statistics for Data Analytics, which is designed specifically to prepare students for this program. We also recommend that you have knowledge of probability theory and linear algebra, but this is not required.

Students who are working with statistics, probability theory, and/or linear algebra in the course of their current employment or who have completed a similar course previously may waive the Statistics for Data Analytics prerequisite, and begin the program directly with Fundamentals of Data Mining. If you are unsure if you have the necessary statistics skills, there is a short self-assessment quiz attached at the end of the program FAQ document (under "Related Documents" on the righ side of the top of this page) to help you gauge whether or not you should forego the prerequisite.

How long is this program?

Most students complete the program in approximately a year and a half by taking one course per quarter for six consecutive quarters. You have up to five years to complete all requirements for the certificate.

How much does this program cost?

The program costs approximately $4,690 including the certificate fee, course fees, and required textbooks. This is an estimate of the full cost of the program. This estimate may vary based on a variety of factors. All estimated costs are subject to change. Program fees are paid on a per-course basis, when you enroll in a course, and current fees and textbooks are listed on the individual course pages.

Can this program be completed entirely online?

Yes! This program is designed for you to take it online in the convenience of your own home or office. Some courses may also have in-class options, but all program requirements can be completed online. For online courses, all assignments, tests, and quizzes can be completed online and submitted through Canvas, our online learning platform.

If I already have the skills taught in one of the program courses, can I skip that course?

If you have taken a course from an accredited university covering the learning objectives of a program course, you may be able to transfer your previous coursework to Extension. If you have not taken a course elsewhere, but already have the skills covered in a course, you may be able to substitute an alternate Extension course in its place. Please contact the program representative at unex-techdata@ucsd.edu or (858) 534-9351 for more information.

Is this certificate open to non-California residents?

Yes, the program is open to non-California residents, including non-US residents. The tuition is the same for all students. If you have questions about how enrolling in courses may or may not affect your visa status, please contact our International Department at ipinfo@ucsd.edu or (858) 534-6784.

How can I get more information about this program?

You will find a downloadable program flyer and program FAQs under "Related Documents" on the right side of the top of this page. If you need further information, please contact the program representative at (858) 534-9152 or unex-techdata@ucsd.edu.

Advisory Board

Dean Abbott

Co-Founder and Chief Data Scientist

SmarterHQ

Huey Antley, Ed.D.

Vice President, Data Science Solutions

KAR Auction Services, Inc.

Steve Anton, Ph.D.

Sr. Data Scientist

ID Analytics

Natasha Balac, Ph.D.

Founder, President and CEO

Data Insight Discovery, Inc.

Eric Busboom

Director

San Diego Regional Data Library

Steve Coggeshall, Ph.D.

Chief Analytics and Science Officer

ID Analytics

Angel Evans

Partner, Head of Quantitative Insights

ModOp

Stefanos Makris

CTO/CPO – Cloud and Open Platforms

Teradata

Julian McAuley, Ph.D.

Assistant Professor of Computer Science

UC San Diego

Joe Murray, Ph.D.

Principal Scientist

FICO

Jian Pei, Ph.D.

Executive Committee Member

ACM SIGKDD

Tamara Sipes, Ph.D.

Principal Data Scientist

Optum/UnitedHealth Group

Abe Weston, M.S.

Associate Principal

Google

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This certificate requires an application before taking any courses. There will be a $0 fee to apply to this program. Students will also be required to pay a $95 certificate fee upon enrollment into the program after acceptance. View the complete Certificate Registration and Candidacy Guidelines.