Big Data Courses
Big data, data analytics,
data mining, and data warehousing - these are terms found in many
job descriptions nowadays. Though there are some nuanced differences in
their meaning, what they have in common is the idea that most organizations have
large operational databases that can be leveraged to make smart management
decisions. Examples include marketing more effectively to existing
customers, identifying patterns of fraud or waste,
streamlining operations and auditing, and reducing costs.
- Data analytics refers to a collection of tools
and techniques that can be used to analyze large data sets.
- Data warehousing refers to a collection
of tools and technologies used to extract useful data from internal and
external databases and prepare it for use in reporting and data analytics
- Data mining can be a synonym for data
analytics, data warehousing, or both.
- Big data simply means lots of data -
terabytes, petabytes, exabytes - some derived from internal operations and
some gathered from external sources.
Many organizations want to use data analytics - small and large businesses,
governments, health care organizations, and many others. That desire has
created a strong demand for students trained in data analytics and warehousing.
Unfortunately, the supply of well-trained students in these areas is low.
Current positions are typically filled by employees with training in economics,
statistics, or database management. But data analytics combines all
of these areas and includes unique content beyond them. Thus, ASM is
expanding its course offerings in these areas to enable
students to better compete for the available and emerging jobs.
ASM Courses in Databases, Data Analytics, and Data Warehousing
ASM has revised some existing data-related courses and is adding new ones.
The diagram below summarizes the courses and their typical sequencing.
Additional details and some possible groupings of those courses are provided
below: Data-related courses can be incorporated in the Master of
Accounting, MBA, and forthcoming MS in Information Systems & Assurance programs.
- Decision Support and Business Intelligence Systems -
MGMT 635 - This is an introductory course in data analytics and its use in
driving business decisions. It surveys a number of data analysis
techniques and introduces easy-to-use analytics software tools. Prior
exposure to database management or programming is helpful but not required.
Prior introductory exposure to statistics is required (e.g., STAT 245 or
MGMT 501). This course is currently offered every fall semester though
an additional spring section may be added in 2015.
- Advanced Data Analytics - To be offered as MGMT 639 - This is a continuation of MGMT 635 with emphasis on
additional analytics techniques/tools and their application to common
business problems in accounting, fraud identification, marketing, and other
business areas. Students must have completed MGMT 635.
Completion of MGMT 637 and/or ECON 409 is helpful but not required.
Students will work on large data sets in interdisciplinary teams. This
course will be offered for the first time in Spring 2015.
- Database Management Systems - MGMT 637 - This course is
a broad overview of databases with emphases on relational database
management, database design, and SQL programming. A one-semester
programming course (e.g., MGMT 330 or CS 152) or equivalent experience is
required. This course is currently offered every fall semester.
A spring section will be added in future years if there is sufficient
demand. Students who have completed MGMT 329 or another undergraduate
database management course are often waived out of this course with
instructor or MIS advisor permission.
- Advanced Database Management - Currently offered as
MGMT 639 but will soon be assigned a new number - This course is a continuation of
MGMT 637 with emphases on tools and technologies needed to manage and
administer databases and database management systems. Topics include
configuration, federation, security, and performance optimization.
Students complete several projects using Microsoft SQL Server. This
course is currently offered every spring semester.
- Data Warehousing - Currently offered as MGMT 639 - This
course covers tools and techniques used to prepare large data sets for data
analytics. Topics including data marts and warehouses,
extract/transform/load procedures, data cleaning and de-normalization, and
combining data obtained from relational and non-relational databases. MGMT 635 and 637
are prerequisites. This course will be offered for the first time in Spring
2014 and every spring semester thereafter.
- ECON 309 and 409 - These courses cover advanced
statistical and quantitative modeling techniques used in economics and data
analytics. Both courses can be taken for graduate credit and they can
be counted toward an MBA/MIS concentration or the MS-ISA program with
advance permission. A student who takes these courses will be better
prepared for advanced data analytic positions and for certain specialized
analytics applications in economics, finance, marketing, and operations
- Analytics "lite" - Because it has few prerequisites,
MGMT 635 can be incorporated into many different programs study such as
marketing, information systems, accounting, finance, and operations
management. Students with cross-training in one of these functional
areas who've also taken one or two data analytics courses are in high
- Analytics "heavy" - Students who want a career in data
analytics should take MGMT 635, 637 and Advanced Data Analytics. For
additional strength in the program of study consider adding Data
Warehousing, ECON 309, and ECON 409. Students who want to focus on
advanced analytics within a specific business discipline should consider a
dual concentration within the MBA program: MIS for the data-related courses
and a functional concentration such as accounting, marketing, finance,
information assurance, or operations management. The analytics "heavy"
course sequence is also effective when combined with a Masters of Accounting
degree or a graduate or undergraduate degree in statistics or economics.
- Database and data warehouse administration - Students
who want a career managing the infrastructure that supports data analytics
should take MGMT 635, 637, Advanced Database Management, and Data
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