Beauty Therapy as a Career

The area of beauty therapy is a flourishing and very rewarding career, with many therapists working in salons, spas or running their own business.

Not a typical science career, but a leaving cert level in biology and chemistry is advantageous with some courses requiring L.C. biology as a pre-requisite.



TYPICAL DAY A typical day for a beauty therapist can vary depending on whether she or he works in a salon, a hotel or on board a ship. Most therapists will work from 9 a.m. to 5 p.m. although many people now want treatments on their way to work so you may find yourself working from 7 a.m., particularly in city settings. A makeup artist may work in settings as varied as in a salon, on a film set or in a large department store. For those fortunate enough to be a makeup artist to the stars, work may involve travel, and good monetary rewards, but can come with long hours.


SKILLS USED IN THE JOB. As well as the technical skills that will be learned on courses, and through practice, beauty therapists, holistic therapists and makeup artists require good people skills. Communication with clients about their needs is vital and also an interesting and fun part of the job. If you don’t like people, don’t become a beauty therapist.


REWARDS Salaries vary but, for the ambitious, there is always the opportunity to open your own salon and become an employer rather than an employee.

ROUTES OF ENTRY Colleges of Further Education offer many Post Leaving Certificate courses in these areas. Some courses offer combined options eg hairdressing and beauty therapy in Cavan College of Further Education. In addition, some third-level colleges offer more specialised courses eg Dun laoghaire Institute of Art Design and Technology has a course in makeup for film and TV. Private colleges and beauty schools also offer courses.



DIFFERENT JOBS IN THE CAREER AREA Jobs vary from masseuse to beauty therapist to nail technician to makeup artist to teacher in further education college. Many therapists would specialise in makeup artistry or nail technician.



ADVICE ABOUT CHOOSING THIS AREA Initially, salaries may be quite modest. However, there is the potential to progress and remember, even when you are training, those all-important tips are an added bonus.

Make sure you choose a course that will give you a recognised qualification eg CIBTAC or CIDESCO.

If you interested in attending a college of further education (no fees) contact your nearest Vocational Education Committee or school offering PLC courses. (PLC courses are provided predominantly in the VEC sector, but some Community and Comprehensive schools and Secondary schools also offer courses.) Try for further information.

Data Scientist

A data scientist turns raw data into valuable insights that an organisation needs in order to grow and compete. He or she is part statistician, part artist – interpreting and analysing data from multiple sources to come up with imaginative solutions to problems. It’s a rapidly evolving role in a fast-changing sector and one that is in big demand.

The Role of a Data Scientist

The role  has evolved and expanded from that of data analyst.

As with an analyst, they organise and analyse data collected by an organisation, such as sales figures, logistics, market research etc.

The difference is that a data scientist will use their strong business sense along with an ability to communicate findings to both business and IT leaders in a way that can influence how an organisation approaches a business challenge.

Data scientists may have different functions depending on which industry/sector they are involved in, for example a data scientist working for Facebook might analyse the types of pages users ‘like’, and then use this information to decide what type of advertisements the user will see when using their Facebook account.

They combine practical skills like coding and maths with the ability to analyse statistics. The main programming languages often used within analytics, data mining and data science are R, SAS, Python and SQL, while knowledge of Java, C/C++, Perl and Ruby. A major trend has recently surfaced called “Big Data” and as a result data scientists are in demand worldwide. Big data refers to the collection (or mining) and analysis of massive amounts of data.

Alternative job titles

  • Data analyst
  • Informatics analyst
  •  Analytics officer
  • Digital analytics manager

What the job involves

  • Use strong business acumen, and ability to communicate findings to mine vast amounts of data for useful insights
  •  Use these insights to influence how an organisation approaches business challenges • Use a combined knowledge of computer science and applications, modelling, statistics, analytics and maths to solve problems
  • Extract data from multiple sources • Sift and analyse the data from multiple angles, looking for trends that highlight problems or opportunities
  • Communicate important information and insights to business and IT leaders
  • Make recommendations to adapt existing business strategies

How your career can develop

With many of the world’s top tech companies such as Google and Facebook with a significant presence in Ireland, data analysts are in big demand. From there, experience and further study to MA and PhD level can mean progression to data scientist level. Why it matters Earlier this year, the White House hired it’s first-ever data scientist to help the government harness the power of innovation and big data.


  • Problem-solving skills
  • Communication skills
  •  Teamwork skills
  •  Investigative skills
  •  Interest in statistics
  •  Interest in predicting trends and identifying patterns
  •  Innovative thinking
  •  Observation skills
  •  Critical thinking

Typical employers

  • Universities and third-level research institutions
  • Wide range of companies from State agencies and departments to manufacturers and service providers such as banks, airlines, large retailers etc
  • Big data companies such as Google and Facebook


Typical salary

  • Graduate/Starting €35,000
  • Senior/Potential €75,000+ after 10 years

Typical qualifications

Entry level can be gained through courses in computer science, data management, statistics, and specific software applications. However, a 4-year degree course is recommended for this career path. These are usually in the area of statistics, maths, business administration, or computer science. Students can also study a related topic at Post Leaving Certificate course or diploma level, before progressing to degree level. Job candidates frequently complete master’s degrees to gain a competitive edge.