Curriculum and Specializations in Data Science Programs: what to expect?

Curriculum and Specializations in Data Science Programs: what to expect?

Written by Ramsay, In Technology, Published On
September 4, 2023
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The need for data science jobs and degrees has increased due to the growth of big data. Explore valuable insights into data science specializations before making this big career decision.

Today, one can pursue a data science program in different specialties from top universities as more companies and enterprises come to grasp the significance of data science. Understanding the resources and processes expected by a specialist in your chosen data science subject can help you prepare for the data science field’s growing complexity.

The name and breadth of the data science specializations available to students vary based on the institution. However, any data science specialization often includes fundamental data science techniques for collecting, organizing, and interpreting data.

Data Science Program Curriculum

Are you completely new to data science? Don’t know where to begin with? Check out this video:

With data science programs, you will learn ethics, communication, statistics, mathematics, and computing skills. These specializations upgrade your analytical thinking, technical expertise, and quantitative aptitude and help you learn how to gather, analyze, and produce meaningful insights from data.

Do this all within a structured data science curriculum that saves you from navigating challenging elective models.

Data Science Specializations

With data science specializations, you’ll take big data, mathematics, and computer science, among many other subjects. Learning storytelling, public speaking and graphic design will also be a part of such specialization courses. You will acquire the information and abilities necessary for data collection, cleaning, visualization, algorithm generation, and trend identification.

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Types of Data Science Specializations

Data Science Programs

Business, research, and government are all integrating data science more and more. You can develop the abilities you must support your firm’s success by specializing in data science. Here is the top data science specialization you must know about.

Business Analytics & Business Intelligence

Suppose you choose to specialize in business analytics and intelligence. In that case, you will gain insight into leveraging data to make quick and effective business decisions, interpret and communicate data information to stakeholders, and assist in resolving issues in their businesses. Here is a table for a better understanding:

Skills & ExpertiseRegression modeling

Database management

Statistical analysis methods

Reporting & presentation

Mathematical process skills

Career ProspectsMarketing analyst

Business analyst

Market research analyst

Business Intelligence analyst

PrerequisitesCollege-level degree in statistics and math

Programming coursework

Data Science Featuring Computational Track

When pursuing this computational data science specialization, you’ll emphasize learning the fundamentals of data science, such as big data infrastructure, data analytics, algorithms, and data systems.

Skills & ExpertiseTechnological theory knowledge

Statistics and engineering

Mechanics of data science approaches

Data science methodologies

Information retrieval

Algorithms and data structures

Career ProspectsData science jobs in the field of

Healthcare

Finance

Retail

Banking

Defense

PrerequisitesKnowledge of math, including calculus

College-level programming coursework

Data Warehousing & Data Engineering

With this data science specialization, you will gain knowledge of the techniques and tools needed to handle huge data warehouses. Also, you could study engineering and problem-solving techniques depending on big data solutions.

Skills & ExpertiseData processing and analyzing

Developing and testing models for handling huge volumes of data

Data collection and storage optimization

Learning new programming languages

Reporting and visualization techniques

Career ProspectsData manager

Data Engineer

Data analyst

Data scientist

Computer network analyst

Computer systems analyst

PrerequisitesCollege-level degree in either of these fields:

Computer or electrical engineering

Computer science

Information systems

Mathematics or statistics

Database Architecture & Database Management (DBMS)

Typically, this specialization will help you learn how to collect and process data and develop and handle large data systems. These abilities facilitate information access and interpretation for individuals within your organization.

Skills & ExpertiseBusiness analysis

Big data systems engineering

Data warehousing

Data design and management

Business intelligence

Advanced architecture design

Career ProspectsDatabase administrator

Data Engineer

Database architect

Information modeling engineer

PrerequisitesCollege-level degree in either of these fields:

Computer science

Mathematics or statistics

Statistical Analysis & Data Mining

In this data science specialization, you will integrate mathematical and statistical studies with in-depth computer and data analytic skills.

Skills & ExpertiseData management

Statistical computing and learning

Mathematical and applied statistics

Analysis and model-building

Career ProspectsQuantitative analyst

Data Engineer

Data mining analyst

Marketing analyst

Data analyst

PrerequisitesCollege-level degree or any course in programming, mathematics, algebra, or statistics

Machine Learning

You’ll learn techniques for enhancing cognitive functions and advancing automation through sophisticated computational algorithms. You’ll understand how algorithms and models can be applied to tackle challenging problems by the end of the course.

Skills & ExpertiseData mining

Natural language processing

Pattern recognition

Applied statistics

Information visualization

Data and network security

Career ProspectsStatistician

Application Developer

Software engineer

Programmer

Data Architect

PrerequisitesBachelor’s degree in applied mathematics or statistics

Any course on programming

Managerial Data Science

In this type of program, you’ll typically be taught methods for managing data science projects. Programs may focus on a mix of technical, interpersonal, and project management skills.

Skills & ExpertiseSpecific business domain knowledge

General management

Programming languages

Database systems

Career ProspectsData science program manager

Project manager

PrerequisitesBasics of programming languages and maths

Work experience in the data science field

Why enroll in a Data Science Specialization program?

Data Science Programs

  • Executives and entrepreneurs will greatly appreciate your data science competence to use big data within their firms.
  • For the many specializations encompassed by the data science degree, educational opportunities are available both online and off-campus.
  • The profession of a data scientist lends itself to portability and flexibility, allowing for the possibility of working remotely and maybe more freedom regarding where you choose to work.
  • By the end of 2030, there will be a 31.4% increase in data science job opportunities, says the US Bureau of Labor Statistics.

Conclusion

When you obtain a data science program degree, you learn a new programming language, explore the background of big data, and lay the groundwork for machine learning. Uncertain of your suitability for data science?

With Simplilearn’s Data Science Professional Certificate, you may explore a data scientist’s daily tasks while gaining marketable skills.

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